BibTeX file with all UtahNLP papers

2024

  • Ashim Gupta, Rishanth Rajendhran, Nathan Stringham, Vivek Srikumar, and Ana Marasovic. 2024. Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness. In Kevin Duh, Helena Gomez, and Steven Bethard, editors, Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 5533–5590, Mexico City, Mexico, June. Association for Computational Linguistics. [link to paper]

    @inproceedings{gupta2024whispers,
      author = {Gupta, Ashim and Rajendhran, Rishanth and Stringham, Nathan and Srikumar, Vivek and Marasovic, Ana},
      title = {Whispers of Doubt Amidst Echoes of Triumph in {NLP} Robustness},
      booktitle = {Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)},
      year = {2024}
    }
    

  • Maitrey Mehta, Valentina Pyatkin, and Vivek Srikumar. 2024. Promptly Predicting Structures: The Return of Inference. In Kevin Duh, Helena Gomez, and Steven Bethard, editors, Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 112–130, Mexico City, Mexico, June. Association for Computational Linguistics. [link to paper]

    @inproceedings{mehta2024promptly,
      author = {Mehta, Maitrey and Pyatkin, Valentina and Srikumar, Vivek},
      title = {Promptly Predicting Structures: The Return of Inference},
      booktitle = {Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)},
      year = {2024}
    }
    

  • Zhichao Xu, Daniel Cohen, Bei Wang, and Vivek Srikumar. 2024. In-Context Example Ordering Guided by Label Distributions. In Kevin Duh, Helena Gomez, and Steven Bethard, editors, Findings of the Association for Computational Linguistics: NAACL 2024, pages 2623–2640, Mexico City, Mexico, June. Association for Computational Linguistics. [link to paper]

    @inproceedings{xu2024in-context,
      author = {Xu, Zhichao and Cohen, Daniel and Wang, Bei and Srikumar, Vivek},
      title = {In-Context Example Ordering Guided by Label Distributions},
      booktitle = {Findings of the Association for Computational Linguistics: NAACL 2024},
      year = {2024}
    }
    

  • Mayank Jobanputra, Maitrey Mehta, and Çağrı Çöltekin. 2024. A Universal Dependencies Treebank for Gujarati. In Archna Bhatia, Gosse Bouma, A. Seza Doğruöz, Kilian Evang, Marcos Garcia, Voula Giouli, Lifeng Han, Joakim Nivre, and Alexandre Rademaker, editors, Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024, pages 56–62, Torino, Italia, May. ELRA and ICCL. [link to paper]

    @inproceedings{jobanputra2024universal,
      author = {Jobanputra, Mayank and Mehta, Maitrey and {\c{C}}{\"o}ltekin, {\c{C}}a{\u{g}}r{\i}},
      title = {A {U}niversal {D}ependencies Treebank for {G}ujarati},
      booktitle = {Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024},
      year = {2024}
    }
    

  • Oliver Bentham, Nathan Stringham, and Ana Marasović. 2024. Chain-of-Thought Unfaithfulness as Disguised Accuracy. Transactions on Machine Learning Research. Reproducibility Certification. [link to paper]

    @article{bentham2024chain-of-thought,
      author = {Bentham, Oliver and Stringham, Nathan and Marasovi{\'c}, Ana},
      title = {Chain-of-Thought Unfaithfulness as Disguised Accuracy},
      journal = {Transactions on Machine Learning Research},
      year = {2024}
    }
    

  • Fateme Hashemi Chaleshtori, Atreya Ghosal, Alexander Gill, Purbid Bambroo, and Ana Marasović. 2024. On Evaluating Explanation Utility for Human-AI Decision Making in NLP. arXiv preprint arXiv:2407.03545. [link to paper]

    @article{chaleshtori2024on-evaluating,
      author = {Chaleshtori, Fateme Hashemi and Ghosal, Atreya and Gill, Alexander and Bambroo, Purbid and Marasovi{\'c}, Ana},
      title = {On Evaluating Explanation Utility for Human-AI Decision Making in NLP},
      journal = {arXiv preprint arXiv:2407.03545},
      year = {2024}
    }
    

  • Zhichao Xu, Ashim Gupta, Tao Li, Oliver Bentham, and Vivek Srikumar. 2024. Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression. arXiv preprint arXiv:2407.04965. [link to paper]

    @article{xu2024beyond,
      author = {Xu, Zhichao and Gupta, Ashim and Li, Tao and Bentham, Oliver and Srikumar, Vivek},
      title = {Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression},
      journal = {arXiv preprint arXiv:2407.04965},
      year = {2024}
    }
    

2023

  • Jacob K. Johnson and Ana Marasović. 2023. How Much Consistency Is Your Accuracy Worth? In Yonatan Belinkov, Sophie Hao, Jaap Jumelet, Najoung Kim, Arya McCarthy, and Hosein Mohebbi, editors, Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, pages 250–260, Singapore, December. Association for Computational Linguistics. [link to paper]

    @inproceedings{johnson2023how-much,
      author = {Johnson, Jacob K. and Marasovi{\'c}, Ana},
      title = {How Much Consistency Is Your Accuracy Worth?},
      booktitle = {Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP},
      year = {2023}
    }
    

  • Meghan Broadbent, Mattia Medina Grespan, Katherine Axford, Xinyao Zhang, Vivek Srikumar, Brent Kious, and Zac Imel. 2023. A machine learning approach to identifying suicide risk among text-based crisis counseling encounters. Frontiers in psychiatry, 14. [link to paper]

    @article{broadbent2023machine,
      author = {Broadbent, Meghan and Medina Grespan, Mattia and Axford, Katherine and Zhang, Xinyao and Srikumar, Vivek and Kious, Brent and Imel, Zac},
      title = {A machine learning approach to identifying suicide risk among text-based crisis counseling encounters},
      journal = {Frontiers in psychiatry},
      year = {2023},
      volume = {14}
    }
    

  • Fateme Hashemi Chaleshtori, Atreya Ghosal, and Ana Marasovic. 2023. On Evaluating Explanation Utility for Human-AI Decision-Making in NLP. In XAI in Action: Past, Present, and Future Applications. [link to paper]

    @inproceedings{chaleshtori2023on-evaluating,
      author = {Chaleshtori, Fateme Hashemi and Ghosal, Atreya and Marasovic, Ana},
      title = {On Evaluating Explanation Utility for Human-{AI} Decision-Making in {NLP}},
      booktitle = {XAI in Action: Past, Present, and Future Applications},
      year = {2023}
    }
    

  • Ashim Gupta, Carter Blum, Temma Choji, Yingjie Fei, Shalin Shah, Alakananda Vempala, and Vivek Srikumar. 2023. Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). [link to paper]

    @inproceedings{gupta2023dont-retrain,
      author = {Gupta, Ashim and Blum, Carter and Choji, Temma and Fei, Yingjie and Shah, Shalin and Vempala, Alakananda and Srikumar, Vivek},
      title = {Don{'}t Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text},
      booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
      year = {2023}
    }
    

  • Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, and Yejin Choi. 2023. Do Androids Laugh at Electric Sheep? Humor ``Understanding'' Benchmarks from The New Yorker Caption Contest. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). [link to paper]
    Best Paper Award

    @inproceedings{hessel2023do-androids,
      author = {Hessel, Jack and Marasovic, Ana and Hwang, Jena D. and Lee, Lillian and Da, Jeff and Zellers, Rowan and Mankoff, Robert and Choi, Yejin},
      title = {Do Androids Laugh at Electric Sheep? Humor {``}Understanding{''} Benchmarks from The New Yorker Caption Contest},
      booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
      year = {2023}
    }
    

  • Tianyu Jiang and Ellen Riloff. 2023. Exploiting Commonsense Knowledge about Objects for Visual Activity Recognition. In Findings of the Association for Computational Linguistics: ACL 2023. [link to paper]

    @inproceedings{jiang2023exploiting,
      author = {Jiang, Tianyu and Riloff, Ellen},
      title = {Exploiting Commonsense Knowledge about Objects for Visual Activity Recognition},
      booktitle = {Findings of the Association for Computational Linguistics: ACL 2023},
      year = {2023}
    }
    

  • Siddharth Khincha, Chelsi Jain, Vivek Gupta, Tushar Kataria, and Shuo Zhang. 2023. InfoSync: Information Synchronization across Multilingual Semi-structured Tables. In Findings of the Association for Computational Linguistics: ACL 2023. [link to paper]

    @inproceedings{khincha2023infosync,
      author = {Khincha, Siddharth and Jain, Chelsi and Gupta, Vivek and Kataria, Tushar and Zhang, Shuo},
      title = {{I}nfo{S}ync: Information Synchronization across Multilingual Semi-structured Tables},
      booktitle = {Findings of the Association for Computational Linguistics: ACL 2023},
      year = {2023}
    }
    

  • Tao Li, Ghazaleh Kazeminejad, Susan W. Brown, Martha Palmer, and Vivek Srikumar. 2023. Learning Semantic Role Labeling from Compatible Label Sequences. [link to paper]

    @article{li2023learning,
      author = {Li, Tao and Kazeminejad, Ghazaleh and Brown, Susan W. and Palmer, Martha and Srikumar, Vivek},
      title = {Learning Semantic Role Labeling from Compatible Label Sequences},
      year = {2023}
    }
    

  • Mattia Medina Grespan, Meghan Broadbent, Xinyao Zhang, Katherine Axford, Brent Kious, Zac Imel, and Vivek Srikumar. 2023. Logic-driven Indirect Supervision: An Application to Crisis Counseling. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). [link to paper]

    @inproceedings{medinagrespan2023logic-driven,
      author = {Medina Grespan, Mattia and Broadbent, Meghan and Zhang, Xinyao and Axford, Katherine and Kious, Brent and Imel, Zac and Srikumar, Vivek},
      title = {Logic-driven Indirect Supervision: An Application to Crisis Counseling},
      booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
      year = {2023}
    }
    

  • Maitrey Mehta and Vivek Srikumar. 2023. Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS. In Findings of the Association for Computational Linguistics: ACL 2023. [link to paper]

    @inproceedings{mehta2023verifying,
      author = {Mehta, Maitrey and Srikumar, Vivek},
      title = {Verifying Annotation Agreement without Multiple Experts: A Case Study with {G}ujarati {SNACS}},
      booktitle = {Findings of the Association for Computational Linguistics: ACL 2023},
      year = {2023}
    }
    

  • Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, and Chandra Bhagavatula. 2023. ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). [link to paper]

    @inproceedings{pyatkin2023clarifydelphi,
      author = {Pyatkin, Valentina and Hwang, Jena D. and Srikumar, Vivek and Lu, Ximing and Jiang, Liwei and Choi, Yejin and Bhagavatula, Chandra},
      title = {{C}larify{D}elphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations},
      booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
      year = {2023}
    }
    

  • Archit Rathore, Yichu Zhou, Vivek Srikumar, and Bei Wang. 2023. TopoBERT: Exploring the topology of fine-tuned word representations. Information Visualization, 22. [link to paper]

    @article{rathore2023topobert,
      author = {Rathore, Archit and Zhou, Yichu and Srikumar, Vivek and Wang, Bei},
      title = {TopoBERT: Exploring the topology of fine-tuned word representations},
      journal = {Information Visualization},
      year = {2023},
      volume = {22}
    }
    

  • Bhavuk Singhal, Ashim Gupta, Shivasankaran V P, and Amrith Krishna. 2023. IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery. [link to paper]

    @article{singhal2023intendd,
      author = {Singhal, Bhavuk and Gupta, Ashim and P, Shivasankaran V and Krishna, Amrith},
      title = {IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery},
      year = {2023}
    }
    

  • Vivek Srikumar and Dan Roth. 2023. The Integer Linear Programming Inference Cookbook. arXiv preprint arXiv:2307.00171. [link to paper]

    @article{srikumar2023integer,
      author = {Srikumar, Vivek and Roth, Dan},
      title = {The Integer Linear Programming Inference Cookbook},
      journal = {arXiv preprint arXiv:2307.00171},
      year = {2023}
    }
    

  • Wenya Wang, Vivek Srikumar, Hannaneh Hajishirzi, and Noah A. Smith. 2023. Elaboration-Generating Commonsense Question Answering at Scale. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). [link to paper]

    @inproceedings{wang2023elaboration-generating,
      author = {Wang, Wenya and Srikumar, Vivek and Hajishirzi, Hannaneh and Smith, Noah A.},
      title = {Elaboration-Generating Commonsense Question Answering at Scale},
      booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
      year = {2023}
    }
    

  • Yuan Zhuang and Ellen Riloff. 2023. Eliciting Affective Events from Language Models by Multiple View Co-prompting. In Findings of the Association for Computational Linguistics: ACL 2023. [link to paper]

    @inproceedings{zhuang2023eliciting,
      author = {Zhuang, Yuan and Riloff, Ellen},
      title = {Eliciting Affective Events from Language Models by Multiple View Co-prompting},
      booktitle = {Findings of the Association for Computational Linguistics: ACL 2023},
      year = {2023}
    }
    

2022

  • Vivek Gupta, Riyaz A Bhat, Atreya Ghosal, Manish Shrivastava, Maneesh Singh, and Vivek Srikumar. 2022. Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. Transactions of the Association for Computational Linguistics, 10. [link to paper]

    @article{gupta2022is-my-model,
      author = {Gupta, Vivek and Bhat, Riyaz A and Ghosal, Atreya and Shrivastava, Manish and Singh, Maneesh and Srikumar, Vivek},
      title = {{Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning}},
      journal = {Transactions of the Association for Computational Linguistics},
      year = {2022},
      volume = {10}
    }
    

  • Vivek Gupta, Shuo Zhang, Alakananda Vempala, Yujie He, Temma Choji, and Vivek Srikumar. 2022. Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL). [link to paper]

    @inproceedings{gupta2022right-for,
      author = {Gupta, Vivek and Zhang, Shuo and Vempala, Alakananda and He, Yujie and Choji, Temma and Srikumar, Vivek},
      title = {{Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning}},
      booktitle = {Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL)},
      year = {2022}
    }
    

  • Yang Janet Liu, Jena D. Hwang, Nathan Schneider, and Vivek Srikumar. 2022. Putting Context in SNACS: A 5-Way Classification of Adpositional Pragmatic Markers. In Proceedings of The 16th Lingusitic Annotation Workshop (LAW-XVI). [link to paper]

    @inproceedings{liu2022putting,
      author = {Liu, Yang Janet and Hwang, Jena D. and Schneider, Nathan and Srikumar, Vivek},
      title = {{Putting Context in SNACS: A 5-Way Classification of Adpositional Pragmatic Markers}},
      booktitle = {Proceedings of The 16th Lingusitic Annotation Workshop (LAW-XVI)},
      year = {2022}
    }
    

  • Ana Marasović, Iz Beltagy, Doug Downey, and Matthew Peters. 2022. Few-Shot Self-Rationalization with Natural Language Prompts. In Findings of the Association for Computational Linguistics: NAACL 2022. [link to paper]

    @inproceedings{marasovic2022few-shot,
      author = {Marasovi{\'c}, Ana and Beltagy, Iz and Downey, Doug and Peters, Matthew},
      title = {Few-Shot Self-Rationalization with Natural Language Prompts},
      booktitle = {Findings of the Association for Computational Linguistics: NAACL 2022},
      year = {2022}
    }
    

  • Maitrey Mehta, Derek Caperton, Katherine Axford, Lauren Weitzman, David Atkins, Vivek Srikumar, and Zac Imel. 2022. Psychotherapy is Not One Thing: Simultaneous Modeling of Different Therapeutic Approaches. In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology. [link to paper]

    @inproceedings{mehta2022psychotherapy,
      author = {Mehta, Maitrey and Caperton, Derek and Axford, Katherine and Weitzman, Lauren and Atkins, David and Srikumar, Vivek and Imel, Zac},
      title = {{Psychotherapy is Not One Thing: Simultaneous Modeling of Different Therapeutic Approaches}},
      booktitle = {Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology},
      year = {2022}
    }
    

  • Shruti Palaskar, Akshita Bhagia, Yonatan Bisk, Florian Metze, Alan W Black, and Ana Marasovi\'c. 2022. On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization. In Findings of the Association for Computational Linguistics: EMNLP 2022. [link to paper]

    @inproceedings{palaskar2022on-advances,
      author = {Palaskar, Shruti and Bhagia, Akshita and Bisk, Yonatan and Metze, Florian and Black, Alan W and Marasovi\'{c}, Ana},
      title = {On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization},
      booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2022},
      year = {2022}
    }
    

  • Abhilasha Ravichander, Matt Gardner, and Ana Marasovi\'c. 2022. CondaQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. [link to paper]
    SoCal NLP Symposium Best Paper Award

    @inproceedings{ravichander2022condaqa,
      author = {Ravichander, Abhilasha and Gardner, Matt and Marasovi\'{c}, Ana},
      title = {CondaQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation},
      booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing},
      year = {2022}
    }
    

  • Alexis Ross, Matthew Peters, and Ana Marasovi\'c. 2022. Does Self-Rationalization Improve Robustness to Spurious Correlations? In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. [link to paper]

    @inproceedings{ross2022does-self-rationalization,
      author = {Ross, Alexis and Peters, Matthew and Marasovi\'{c}, Ana},
      title = {Does Self-Rationalization Improve Robustness to Spurious Correlations?},
      booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing},
      year = {2022}
    }
    

  • Yichu Zhou and Vivek Srikumar. 2022. A Closer Look at How Fine-tuning Changes BERT. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL). [link to paper]

    @inproceedings{zhou2022closer,
      author = {Zhou, Yichu and Srikumar, Vivek},
      title = {{A Closer Look at How Fine-tuning Changes BERT}},
      booktitle = {Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL)},
      year = {2022}
    }
    

2021

  • Sunipa Dev, Tao Li, Jeff Phillips, and Vivek Srikumar. 2021. OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP). [link to paper]

    @inproceedings{dev2021oscar,
      author = {Dev, Sunipa and Li, Tao and Phillips, Jeff and Srikumar, Vivek},
      title = {{OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings}},
      booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
      year = {2021}
    }
    

  • Jesse Dodge, Maarten Sap, Ana Marasović, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, and Matt Gardner. 2021. Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. [link to paper]

    @inproceedings{dodge2021documenting,
      author = {Dodge, Jesse and Sap, Maarten and Marasovi{\'c}, Ana and Agnew, William and Ilharco, Gabriel and Groeneveld, Dirk and Mitchell, Margaret and Gardner, Matt},
      title = {Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus},
      booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},
      year = {2021}
    }
    

  • Ashim Gupta, Giorgi Kvernadze, and Vivek Srikumar. 2021. BERT & Family Eat Word Salad: Experiments with Text Understanding. In AAAI. [link to paper]

    @inproceedings{gupta2021bert--family,
      author = {Gupta, Ashim and Kvernadze, Giorgi and Srikumar, Vivek},
      title = {{BERT & Family Eat Word Salad: Experiments with Text Understanding}},
      booktitle = {AAAI},
      year = {2021}
    }
    

  • Ashim Gupta and Vivek Srikumar. 2021. X-Fact: A New Benchmark Dataset for Multilingual Fact Checking. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL). [link to paper]

    @inproceedings{gupta2021x-fact,
      author = {Gupta, Ashim and Srikumar, Vivek},
      title = {{X-Fact: A New Benchmark Dataset for Multilingual Fact Checking}},
      booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL)},
      year = {2021}
    }
    

  • Alexander Miserlis Hoyle, Ana Marasović, and Noah A. Smith. 2021. Promoting Graph Awareness in Linearized Graph-to-Text Generation. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. [link to paper]

    @inproceedings{hoyle2021promoting,
      author = {Hoyle, Alexander Miserlis and Marasovi{\'c}, Ana and Smith, Noah A.},
      title = {Promoting Graph Awareness in Linearized Graph-to-Text Generation},
      booktitle = {Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021},
      year = {2021}
    }
    

  • Alon Jacovi, Ana Marasović, Tim Miller, and Yoav Goldberg. 2021. Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI. In FAccT '21: 2021 ACM Conference on Fairness, Accountability, and Transparency, Virtual Event / Toronto, Canada, March 3-10, 2021. [link to paper]

    @inproceedings{jacovi2021formalizing,
      author = {Jacovi, Alon and Marasovi{\'c}, Ana and Miller, Tim and Goldberg, Yoav},
      title = {Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in {AI}},
      booktitle = {FAccT '21: 2021 {ACM} Conference on Fairness, Accountability, and Transparency, Virtual Event / Toronto, Canada, March 3-10, 2021},
      year = {2021}
    }
    

  • Tianyu Jiang and Ellen Riloff. 2021. Exploiting Definitions for Frame Identification. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021). [link to paper]

    @inproceedings{jiang2021exploiting,
      author = {Jiang, Tianyu and Riloff, Ellen},
      title = {{Exploiting Definitions for Frame Identification}},
      booktitle = {Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021)},
      year = {2021}
    }
    

  • Tianyu Jiang and Ellen Riloff. 2021. Learning Prototypical Functions for Physical Artifacts. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). [link to paper]

    @inproceedings{jiang2021learning,
      author = {Jiang, Tianyu and Riloff, Ellen},
      title = {{Learning Prototypical Functions for Physical Artifacts}},
      booktitle = {Proceedings of the  Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)},
      year = {2021}
    }
    

  • Taelin Karidi, Yichu Zhou, Nathan Schneider, Omri Abend, and Vivek Srikumar. 2021. Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP). [link to paper]

    @inproceedings{karidi2021putting,
      author = {Karidi, Taelin and Zhou, Yichu and Schneider, Nathan and Abend, Omri and Srikumar, Vivek},
      title = {{Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords}},
      booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
      year = {2021}
    }
    

  • Ghazaleh Kazeminejad, Martha Palmer, Tao Li, and Vivek Srikumar. 2021. Automatic Entity State Annotation using the VerbNet Semantic Parser. In Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop. [link to paper]

    @inproceedings{kazeminejad2021automatic,
      author = {Kazeminejad, Ghazaleh and Palmer, Martha and Li, Tao and Srikumar, Vivek},
      title = {{Automatic Entity State Annotation using the {V}erb{N}et Semantic Parser}},
      booktitle = {Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop},
      year = {2021}
    }
    

  • Mattia Medina-Grespan, Ashim Gupta, and Vivek Srikumar. 2021. Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). [link to paper]

    @inproceedings{medina-grespan2021evaluating,
      author = {Medina-Grespan, Mattia and Gupta, Ashim and Srikumar, Vivek},
      title = {{Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study}},
      booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)},
      year = {2021}
    }
    

  • Sebastian Musslick, Anastasia Cherkaev, Ben Draut, Ahsan Butt, Pierce Darragh, Vivek Srikumar, Matthew Flatt, and Jonathan D. Cohen. 2021. SweetPea: A Standard Language for Factorial Experimental Design. Behavior Research Methods, 54. [link to paper]

    @article{musslick2021sweetpea,
      author = {Musslick, Sebastian and Cherkaev, Anastasia and Draut, Ben and Butt, Ahsan and Darragh, Pierce and Srikumar, Vivek and Flatt, Matthew and Cohen, Jonathan D.},
      title = {{SweetPea: A Standard Language for Factorial Experimental Design}},
      journal = {Behavior Research Methods},
      year = {2021},
      volume = {54}
    }
    

  • J. Neeraja, Vivek Gupta, and Vivek Srikumar. 2021. Incorporating External Knowledge to Enhance Tabular Reasoning. In Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics. [link to paper]

    @inproceedings{neeraja2021incorporating,
      author = {Neeraja, J. and Gupta, Vivek and Srikumar, Vivek},
      title = {{Incorporating External Knowledge to Enhance Tabular Reasoning}},
      booktitle = {Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics},
      year = {2021}
    }
    

  • Jakob Prange, Nathan Schneider, and Vivek Srikumar. 2021. Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories. Transactions of the Association for Computational Linguistics, 9. [link to paper]

    @article{prange2021supertagging,
      author = {Prange, Jakob and Schneider, Nathan and Srikumar, Vivek},
      title = {{Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories}},
      journal = {Transactions of the Association for Computational Linguistics},
      year = {2021},
      volume = {9}
    }
    

  • Alexis Ross, Ana Marasović, and Matthew Peters. 2021. Explaining NLP Models via Minimal Contrastive Editing (MiCE). In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. [link to paper]

    @inproceedings{ross2021explaining,
      author = {Ross, Alexis and Marasovi{\'c}, Ana and Peters, Matthew},
      title = {Explaining {NLP} Models via Minimal Contrastive Editing ({M}i{CE})},
      booktitle = {Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021},
      year = {2021}
    }
    

  • Kaiser Sun and Ana Marasović. 2021. Effective Attention Sheds Light On Interpretability. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. [link to paper]

    @inproceedings{sun2021effective,
      author = {Sun, Kaiser and Marasovi{\'c}, Ana},
      title = {Effective Attention Sheds Light On Interpretability},
      booktitle = {Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021},
      year = {2021}
    }
    

  • Michael J. Tanana, Christina S. Soma, Patty B. Kuo, Nicolas M. Bertagnolli, Aaron Dembe, Brian T. Pace, Vivek Srikumar, David C. Atkins, and Zac E. Imel. 2021. How Do You Feel? Using Natural Language Processing to Automatically Rate Emotion in Psychotherapy. Behavior Research Methods, 53. [link to paper]

    @article{tanana2021how-do-you,
      author = {Tanana, Michael J. and Soma, Christina S. and Kuo, Patty B. and Bertagnolli, Nicolas M. and Dembe, Aaron and Pace, Brian T. and Srikumar, Vivek and Atkins, David C. and Imel, Zac E.},
      title = {{How Do You Feel? Using Natural Language Processing to Automatically Rate Emotion in Psychotherapy}},
      journal = {Behavior Research Methods},
      year = {2021},
      volume = {53}
    }
    

  • Sarah Wiegreffe, Ana Marasović, and Noah A. Smith. 2021. Measuring Association Between Labels and Free-Text Rationales. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. [link to paper]

    @inproceedings{wiegreffe2021measuring,
      author = {Wiegreffe, Sarah and Marasovi{\'c}, Ana and Smith, Noah A.},
      title = {{M}easuring Association Between Labels and Free-Text Rationales},
      booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},
      year = {2021}
    }
    

  • Sarah Wiegreffe and Ana Marasovi\'c. 2021. Teach Me to Explain: A Review of Datasets for Explainable NLP. In Proceedings of NeurIPS. [link to paper]

    @inproceedings{wiegreffe2021teach-me,
      author = {Wiegreffe, Sarah and Marasovi\'{c}, Ana},
      title = {Teach Me to Explain: A Review of Datasets for Explainable NLP},
      booktitle = {Proceedings of NeurIPS},
      year = {2021}
    }
    

  • Yichu Zhou and Vivek Srikumar. 2021. DirectProbe: Studying Representations without Classifiers. In Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics. [link to paper]

    @inproceedings{zhou2021directprobe,
      author = {Zhou, Yichu and Srikumar, Vivek},
      title = {{DirectProbe: Studying Representations without Classifiers}},
      booktitle = {Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics},
      year = {2021}
    }
    

2020

  • Sunipa Dev, Tao Li, Jeff Phillips, and Vivek Srikumar. 2020. On Measuring and Mitigating Biased Inferences of Word Embeddings. In AAAI. [link to paper]

    @inproceedings{dev2020on-measuring,
      author = {Dev, Sunipa and Li, Tao and Phillips, Jeff and Srikumar, Vivek},
      title = {{On Measuring and Mitigating Biased Inferences of Word Embeddings}},
      booktitle = {AAAI},
      year = {2020}
    }
    

  • Christian Felt and Ellen Riloff. 2020. Recognizing Euphemisms and Dysphemisms Using Sentiment Analysis. In The Second Workshop on Figurative Language Processing (FigLang2020). [link to paper]

    @inproceedings{felt2020recognizing,
      author = {Felt, Christian and Riloff, Ellen},
      title = {{Recognizing Euphemisms and Dysphemisms Using Sentiment Analysis}},
      booktitle = {The Second Workshop on Figurative Language Processing (FigLang2020)},
      year = {2020}
    }
    

  • Vivek Gupta, Pegah Nokhiz, Maitrey Mehta, and Vivek Srikumar. 2020. InfoTabS: Inference on Tables as Semi-structured Data. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. [link to paper]

    @inproceedings{gupta2020infotabs,
      author = {Gupta, Vivek and Nokhiz, Pegah and Mehta, Maitrey and Srikumar, Vivek},
      title = {{InfoTabS: Inference on Tables as Semi-structured Data}},
      booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
      year = {2020}
    }
    

  • Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A. Smith. 2020. Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. [link to paper]
    Honorable Mention for ACL 2020 Best Paper Award

    @inproceedings{gururangan2020dont-stop,
      author = {Gururangan, Suchin and Marasovi{\'c}, Ana and Swayamdipta, Swabha and Lo, Kyle and Beltagy, Iz and Downey, Doug and Smith, Noah A.},
      title = {Don{'}t Stop Pretraining: Adapt Language Models to Domains and Tasks},
      booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
      year = {2020}
    }
    

  • Jena D. Hwang, Nathan Schneider, and Vivek Srikumar. 2020. Sprucing up Supersenses: Untangling the Semantic Clusters of Accompaniment and Purpose. In Proceedings of the 14th Linguistic Annotation Workshop. [link to paper]

    @inproceedings{hwang2020sprucing,
      author = {Hwang, Jena D. and Schneider, Nathan and Srikumar, Vivek},
      title = {Sprucing up Supersenses: Untangling the Semantic Clusters of Accompaniment and Purpose},
      booktitle = {Proceedings of the 14th Linguistic Annotation Workshop},
      year = {2020}
    }
    

  • Tao Li, Parth Anand Jawale, Martha Palmer, and Vivek Srikumar. 2020. Structured Tuning for Semantic Role Labeling. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. [link to paper]

    @inproceedings{li2020structured,
      author = {Li, Tao and Jawale, Parth Anand and Palmer, Martha and Srikumar, Vivek},
      title = {{Structured Tuning for Semantic Role Labeling}},
      booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
      year = {2020}
    }
    

  • Tao Li, Tushar Khot, Daniel Khashabi, Ashish Sabarwal, and Vivek Srikumar. 2020. UNQOVERing Stereotyping Biases via Underspecified Questions. In Findings of EMNLP. [link to paper]

    @inproceedings{li2020unqovering,
      author = {Li, Tao and Khot, Tushar and Khashabi, Daniel and Sabarwal, Ashish and Srikumar, Vivek},
      title = {{UNQOVERing Stereotyping Biases via Underspecified Questions}},
      booktitle = {Findings of EMNLP},
      year = {2020}
    }
    

  • Ana Marasović, Chandra Bhagavatula, Jae sung Park, Ronan Le Bras, Noah A. Smith, and Yejin Choi. 2020. Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. In Findings of the Association for Computational Linguistics: EMNLP 2020. [link to paper]

    @inproceedings{marasovic2020natural,
      author = {Marasovi{\'c}, Ana and Bhagavatula, Chandra and Park, Jae sung and Le Bras, Ronan and Smith, Noah A. and Choi, Yejin},
      title = {Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs},
      booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
      year = {2020}
    }
    

  • Qiang Ning, Hao Wu, Pradeep Dasigi, Dheeru Dua, Matt Gardner, Robert L. Logan IV, Ana Marasović, and Zhen Nie. 2020. Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. [link to paper]

    @inproceedings{ning2020easy-reproducible,
      author = {Ning, Qiang and Wu, Hao and Dasigi, Pradeep and Dua, Dheeru and Gardner, Matt and Logan IV, Robert L. and Marasovi{\'c}, Ana and Nie, Zhen},
      title = {Easy, Reproducible and Quality-Controlled Data Collection with {CROWDAQ}},
      booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
      year = {2020}
    }
    

  • Xingyuan Pan, Maitrey Mehta, and Vivek Srikumar. 2020. Learning Constraints for Structured Prediction Using Rectifier Networks. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. [link to paper]

    @inproceedings{pan2020learning,
      author = {Pan, Xingyuan and Mehta, Maitrey and Srikumar, Vivek},
      title = {{Learning Constraints for Structured Prediction Using Rectifier Networks}},
      booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
      year = {2020}
    }
    

  • Joyce D Schroeder, Ricardo Bigolin Lanfredi, Tao Li, Jessica Chan, Clement Vachet, Robert Paine III, Vivek Srikumar, and Tolga Tasdizen. 2020. Prediction of Obstructive Lung Disease from Chest Radiographs via Deep Learning Trained on Pulmonary Function Data. International Journal of Chronic Obstructive Pulmonary Disease, 15. [link to paper]

    @article{schroeder2020prediction,
      author = {Schroeder, Joyce D and Lanfredi, Ricardo Bigolin and Li, Tao and Chan, Jessica and Vachet, Clement and Paine III, Robert and Srikumar, Vivek and Tasdizen, Tolga},
      title = {{Prediction of Obstructive Lung Disease from Chest Radiographs via Deep Learning Trained on Pulmonary Function Data}},
      journal = {International Journal of Chronic Obstructive Pulmonary Disease},
      year = {2020},
      volume = {15}
    }
    

  • Yichu Zhou, Omri Koshorek, Vivek Srikumar, and Jonathan Berant. 2020. A Simple Global Neural Discourse Parser. arXiv preprint arXiv:2009.01312. [link to paper]

    @unpublished{zhou2020simple,
      author = {Zhou, Yichu and Koshorek, Omri and Srikumar, Vivek and Berant, Jonathan},
      title = {{A Simple Global Neural Discourse Parser}},
      note = {arXiv preprint arXiv:2009.01312},
      year = {2020}
    }
    

  • Yuan Zhuang, Tianyu Jiang, and Ellen Riloff. 2020. Affective Event Classification with Discourse-enhanced Self-training. In The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). [link to paper]

    @inproceedings{zhuang2020affective,
      author = {Zhuang, Yuan and Jiang, Tianyu and Riloff, Ellen},
      title = {{Affective Event Classification with Discourse-enhanced Self-training}},
      booktitle = {The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},
      year = {2020}
    }
    

  • Yuan Zhuang and Ellen Riloff. 2020. Exploring the Role of Context to Distinguish Rhetorical and Information-Seeking Questions. In The ACL 2020 Student Research Workshop (SRW). [link to paper]

    @inproceedings{zhuang2020exploring,
      author = {Zhuang, Yuan and Riloff, Ellen},
      title = {{  Exploring the Role of Context to Distinguish Rhetorical and Information-Seeking Questions}},
      booktitle = {The ACL 2020 Student Research Workshop (SRW)},
      year = {2020}
    }
    

2019

  • Jie Cao, Michael Tanana, Zac Imel, Eric Poitras, David Atkins, and Vivek Srikumar. 2019. Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes. In Annual Meeting of the Association for Computational Linguistics (ACL). [link to paper]

    @inproceedings{cao2019observing,
      author = {Cao, Jie and Tanana, Michael and Imel, Zac and Poitras, Eric and Atkins, David and Srikumar, Vivek},
      title = {{Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes}},
      booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
      year = {2019}
    }
    

  • Annie Cherkaev, Waiming Tai, Jeff Phillips, and Vivek Srikumar. 2019. Learning In Practice: Reasoning About Quantization. arXiv preprint arXiv:1905.11478. [link to paper]

    @unpublished{cherkaev2019learning,
      author = {Cherkaev, Annie and Tai, Waiming and Phillips, Jeff and Srikumar, Vivek},
      title = {{Learning In Practice: Reasoning About Quantization}},
      note = {arXiv preprint arXiv:1905.11478},
      year = {2019}
    }
    

  • Pradeep Dasigi, Nelson F. Liu, Ana Marasović, Noah A. Smith, and Matt Gardner. 2019. Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). [link to paper]

    @inproceedings{dasigi2019quoref,
      author = {Dasigi, Pradeep and Liu, Nelson F. and Marasovi{\'c}, Ana and Smith, Noah A. and Gardner, Matt},
      title = {{Q}uoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning},
      booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
      year = {2019}
    }
    

  • Haibo Ding, Ellen Riloff, and Zhe Feng. 2019. Improving Human Needs Categorization of Events with Semantic Classification. In Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019) . [link to paper]

    @inproceedings{ding2019improving,
      author = {Ding, Haibo and Riloff, Ellen and Feng, Zhe},
      title = {{Improving Human Needs Categorization of Events with Semantic Classification}},
      booktitle = { Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)  },
      year = {2019}
    }
    

  • Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, and Jonathan Berant. 2019. On the Limits of Learning to Actively Learn Semantic Representations. In Proceedings of the Conference on Natural Language Learning (CoNLL). [link to paper]
    Best paper honorable mention

    @inproceedings{koshorek2019on-the-limits,
      author = {Koshorek, Omri and Stanovsky, Gabriel and Zhou, Yichu and Srikumar, Vivek and Berant, Jonathan},
      title = {{On the Limits of Learning to Actively Learn Semantic Representations}},
      booktitle = {Proceedings of the Conference on Natural Language Learning (CoNLL)},
      year = {2019}
    }
    

  • Tao Li and Vivek Srikumar. 2019. Augmenting Neural Networks with First-order Logic. In Annual Meeting of the Association for Computational Linguistics (ACL). [link to paper]

    @inproceedings{li2019augmenting,
      author = {Li, Tao and Srikumar, Vivek},
      title = {{Augmenting Neural Networks with First-order Logic}},
      booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
      year = {2019}
    }
    

  • Tao Li, Vivek Gupta, Maitrey Mehta, and Vivek Srikumar. 2019. A Logic-Driven Framework for Consistency of Neural Models. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). [link to paper]

    @inproceedings{li2019logic-driven,
      author = {Li, Tao and Gupta, Vivek and Mehta, Maitrey and Srikumar, Vivek},
      title = {{A Logic-Driven Framework for Consistency of Neural Models}},
      booktitle = {Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},
      year = {2019}
    }
    

  • Shusen Liu, Zhimin Li, Tao Li, Vivek Srikumar, Valerio Pascucci, and Peer-Timo Bremer. 2019. NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models. IEEE Transactions on Visualization and Computer Graphics, 25. [link to paper]

    @article{liu2019nlize,
      author = {Liu, Shusen and Li, Zhimin and Li, Tao and Srikumar, Vivek and Pascucci, Valerio and Bremer, Peer-Timo},
      title = {{NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models}},
      journal = {IEEE Transactions on Visualization and Computer Graphics},
      year = {2019},
      volume = {25}
    }
    

  • Adi Shalev, Jena D. Hwang, Nathan Schneider, Vivek Srikumar, Omri Abend, and Ari Rappoport. 2019. Preparing SNACS for Subjects and Objects. In The First International Workshop on Designing Meaning Representations (DMR). [link to paper]

    @inproceedings{shalev2019preparing,
      author = {Shalev, Adi and Hwang, Jena D. and Schneider, Nathan and Srikumar, Vivek and Abend, Omri and Rappoport, Ari},
      title = {{Preparing SNACS for Subjects and Objects}},
      booktitle = {The First International Workshop on Designing Meaning Representations (DMR)},
      year = {2019}
    }
    

  • Michael J. Tanana, Christina S. Soma, Vivek Srikumar, David C. Atkins, and Zac E. Imel. 2019. Development and evaluation of ClientBot: A patient-like conversational agent to train basic counseling skills. Journal of Medical Internet Research, 21. [link to paper]

    @article{tanana2019development,
      author = {Tanana, Michael J. and Soma, Christina S. and Srikumar, Vivek and Atkins, David C. and Imel, Zac E.},
      title = {{Development and evaluation of ClientBot: A patient-like conversational agent to train basic counseling skills}},
      journal = {Journal of Medical Internet Research},
      year = {2019},
      volume = {21}
    }
    

  • Yichu Zhou and Vivek Srikumar. 2019. Beyond Context: A New Perspective for Word Embeddings. In *SEM. [link to paper]

    @inproceedings{zhou2019beyond,
      author = {Zhou, Yichu and Srikumar, Vivek},
      title = {{Beyond Context: A New Perspective for Word Embeddings}},
      booktitle = {*SEM},
      year = {2019}
    }
    

2018

  • Haibo Ding and Ellen Riloff. 2018. Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2018). [link to paper]

    @inproceedings{ding2018human-needs,
      author = {Ding, Haibo and Riloff, Ellen},
      title = {{Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data}},
      booktitle = { Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2018)},
      year = {2018}
    }
    

  • Haibo Ding and Ellen Riloff. 2018. Weakly Supervised Induction of Affective Events by Optimizing Semantic Consistency. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). [link to paper]

    @inproceedings{ding2018weakly,
      author = {Ding, Haibo and Riloff, Ellen},
      title = {{Weakly Supervised Induction of Affective Events by Optimizing Semantic Consistency}},
      booktitle = {Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18)},
      year = {2018}
    }
    

  • Haibo Ding, Tianyu Jiang, and Ellen Riloff. 2018. Why is an Event Affective? Classifying Affective Events based on Human Needs . In AAAI-18 Workshop on Affective Content Analysis. [link to paper]

    @inproceedings{ding2018why-is-an,
      author = {Ding, Haibo and Jiang, Tianyu and Riloff, Ellen},
      title = {{Why is an Event Affective? Classifying Affective Events based on Human Needs  }},
      booktitle = {AAAI-18 Workshop on Affective Content Analysis},
      year = {2018}
    }
    

  • Tianyu Jiang and Ellen Riloff. 2018. Learning Prototypical Goal Activities for Locations. In Proceedings of the 56th Annual Meeting of the Association for Computationnal Linguistics(ACL 2018). [link to paper]

    @inproceedings{jiang2018learning,
      author = {Jiang, Tianyu and Riloff, Ellen},
      title = {{Learning Prototypical Goal Activities for Locations}},
      booktitle = { Proceedings of the 56th Annual Meeting of the Association for Computationnal Linguistics(ACL 2018)},
      year = {2018}
    }
    

  • Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, et al. 2018. CogCompNLP: Your Swiss Army Knife for NLP. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC). [link to paper]

    @inproceedings{khashabi2018cogcompnlp,
      author = {Khashabi, Daniel and Sammons, Mark and Zhou, Ben and Redman, Tom and Christodoulopoulos, Christos and Srikumar, Vivek and Rizzolo, Nicholas and Ratinov, Lev and Luo, Guanheng and Do, Quang and Tsai, Chen-Tse and Roy, Subhro and Mayhew, Stephen and Feng, Zhili and Wieting, John and Yu, Xiaodong and Song, Yangqiu and Gupta, Shashank and Upadhyay, Shyam and Arivazhagan, Naveen and Ning, Qiang and Ling, Shaoshi and Roth, Dan},
      title = {{CogCompNLP: Your Swiss Army Knife for NLP}},
      booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC)},
      year = {2018}
    }
    

  • Shusen Liu, Tao Li, Zhimin Li, Vivek Srikumar, Valerio Pascucci, and Peer-Timo Bremer. 2018. Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP): System Demonstrations. [link to paper]

    @inproceedings{liu2018visual,
      author = {Liu, Shusen and Li, Tao and Li, Zhimin and Srikumar, Vivek and Pascucci, Valerio and Bremer, Peer-Timo},
      title = {{Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension}},
      booktitle = {Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP): System Demonstrations},
      year = {2018}
    }
    

  • Shusen Liu, Peer-Timo Bremer, Jayaraman J. Thiagarajan, Vivek Srikumar, Bei Wang, Yarden Livnat, and Valerio Pascucci. 2018. Visual Exploration of Semantic Relationships in Neural Word Embeddings. IEEE Transactions on Visualization and Computer Graphics, 24. [link to paper]

    @article{liu2018visuala,
      author = {Liu, Shusen and Bremer, Peer-Timo and Thiagarajan, Jayaraman J. and Srikumar, Vivek and Wang, Bei and Livnat, Yarden and Pascucci, Valerio},
      title = {{Visual Exploration of Semantic Relationships in Neural Word Embeddings}},
      journal = {IEEE Transactions on Visualization and Computer Graphics},
      year = {2018},
      volume = {24}
    }
    

  • Ana Marasović and Anette Frank. 2018. SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning with Semantic Role Labeling. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). [link to paper]

    @inproceedings{marasovic2018srl4orl,
      author = {Marasovi{\'c}, Ana and Frank, Anette},
      title = {{SRL}4{ORL}: Improving Opinion Role Labeling Using Multi-Task Learning with Semantic Role Labeling},
      booktitle = {Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)},
      year = {2018}
    }
    

  • Anirban Nag, Ali Shafiee, Rajeev Balasubramonian, Vivek Srikumar, Ross Walker, John Paul Strachan, and Naveen Muralimanohar. 2018. Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration. IEEE Micro, 38. [link to paper]

    @article{nag2018newton,
      author = {Nag, Anirban and Shafiee, Ali and Balasubramonian, Rajeev and Srikumar, Vivek and Walker, Ross and Strachan, John Paul and Muralimanohar, Naveen},
      title = {{Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration}},
      journal = {IEEE Micro},
      year = {2018},
      volume = {38}
    }
    

  • Xingyuan Pan and Vivek Srikumar. 2018. Learning to Speed Up Structured Output Prediction. In Proceedings of the International Conference on Machine Learning (ICML). [link to paper]

    @inproceedings{pan2018learning,
      author = {Pan, Xingyuan and Srikumar, Vivek},
      title = {Learning to Speed Up Structured Output Prediction},
      booktitle = {Proceedings of the International Conference on Machine Learning (ICML)},
      year = {2018}
    }
    

  • Aowabin Rahman, Vivek Srikumar, and Amanda D. Smith. 2018. Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks. Applied Energy, 212. [link to paper]

    @article{rahman2018predicting,
      author = {Rahman, Aowabin and Srikumar, Vivek and Smith, Amanda D.},
      title = {Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks},
      journal = {Applied Energy},
      year = {2018},
      volume = {212}
    }
    

  • Ellen Riloff and Rosie Jones. 2018. A Retrospective on Mutual Bootstrapping. AI Magazine, 39. [link to paper]

    @article{riloff2018retrospective,
      author = {Riloff, Ellen and Jones, Rosie},
      title = {{A Retrospective on Mutual Bootstrapping}},
      journal = {AI Magazine},
      year = {2018},
      volume = {39}
    }
    

  • Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Jakob Prange, Austin Blodgett, Sarah Moeller, Aviram Stern, Adi Bitan, and Omri Abend. 2018. Comprehensive supersense disambiguation of English prepositions and possessives. In Annual Meeting of the Association for Computational Linguistics (ACL). [link to paper]

    @inproceedings{schneider2018comprehensive,
      author = {Schneider, Nathan and Hwang, Jena D. and Srikumar, Vivek and Prange, Jakob and Blodgett, Austin and Moeller, Sarah and Stern, Aviram and Bitan, Adi and Abend, Omri},
      title = {Comprehensive supersense disambiguation of {E}nglish prepositions and possessives},
      booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
      year = {2018}
    }
    

  • Kiri Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, and Nina Lanza. 2018. Mars Target Encyclopedia: Rock and Soil Composition Extracted from the Literature . In Proceedings of the Thirtieth Conference on Innovative Applications of Artificial Intelligence (IAAI-18). [link to paper]

    @inproceedings{wagstaff2018mars-target,
      author = {Wagstaff, Kiri and Francis, Raymond and Gowda, Thamme and Lu, You and Riloff, Ellen and Singh, Karanjeet and Lanza, Nina},
      title = {{Mars Target Encyclopedia: Rock and Soil Composition Extracted from the Literature  }},
      booktitle = { Proceedings of the Thirtieth Conference on Innovative Applications of Artificial Intelligence (IAAI-18)},
      year = {2018}
    }
    

  • Markus Zopf, Teresa Botschen, Tobias Falke, Benjamin Heinzerling, Ana Marasović, Todor Mihaylov, Avinesh P. V. S., Eneldo Loza Menc\'ıa, Johannes F\"urnkranz, and Anette Frank. 2018. What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization. In Fifth International Conference on Social Networks Analysis, Management and Security, SNAMS 2018, Valencia, Spain, October 15-18, 2018. [link to paper]

    @inproceedings{zopf2018whats,
      author = {Zopf, Markus and Botschen, Teresa and Falke, Tobias and Heinzerling, Benjamin and Marasovi{\'c}, Ana and Mihaylov, Todor and S., Avinesh P. V. and Menc{\'{\i}}a, Eneldo Loza and F{\"{u}}rnkranz, Johannes and Frank, Anette},
      title = {What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization},
      booktitle = {Fifth International Conference on Social Networks Analysis, Management and Security, {SNAMS} 2018, Valencia, Spain, October 15-18, 2018},
      year = {2018}
    }
    

2017

  • Min Du, Feifei Li, Guineng Zheng, and Vivek Srikumar. 2017. DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning. In Proceedings of 24th ACM Conference on Computer and Communications Security. [link to paper]

    @inproceedings{du2017deeplog,
      author = {Du, Min and Li, Feifei and Zheng, Guineng and Srikumar, Vivek},
      title = {{DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning}},
      booktitle = {Proceedings of 24th ACM Conference on Computer and Communications Security},
      year = {2017}
    }
    

  • Jena D. Hwang, Archna Bhatia, Na-Rae Han, Tim O'Gorman, Vivek Srikumar, and Nathan Schneider. 2017. Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions. In AAAI Spring Symposium on Computational Construction Grammar and Natural Language Understanding. [link to paper]

    @inproceedings{hwang2017coping,
      author = {Hwang, Jena D. and Bhatia, Archna and Han, Na-Rae and O'Gorman, Tim and Srikumar, Vivek and Schneider, Nathan},
      title = {{Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions}},
      booktitle = {AAAI Spring Symposium on Computational Construction Grammar and Natural Language Understanding},
      year = {2017}
    }
    

  • Jena D. Hwang, Archna Bhatia, Na-Rae Han, Tim O'Gorman, Vivek Srikumar, and Nathan Schneider. 2017. Double Trouble: The Problem of Construal in Semantic Annotation of Adpositions. In *SEM. [link to paper]

    @inproceedings{hwang2017double,
      author = {Hwang, Jena D. and Bhatia, Archna and Han, Na-Rae and O'Gorman, Tim and Srikumar, Vivek and Schneider, Nathan},
      title = {{Double Trouble: The Problem of Construal in Semantic Annotation of Adpositions}},
      booktitle = {*SEM},
      year = {2017}
    }
    

  • Youngjun Kim, Ellen Riloff, and Stéphane Meystre. 2017. Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification. In Proceedings of the AMIA 2017 Annual Symposium (AMIA 2017). [link to paper]
    Finalist for AMIA 2017 Distinguished Paper Award

    @inproceedings{kim2017exploiting,
      author = {Kim, Youngjun and Riloff, Ellen and Meystre, Stéphane},
      title = {{Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification}},
      booktitle = {Proceedings of the AMIA 2017 Annual Symposium (AMIA 2017)},
      year = {2017}
    }
    

  • Ana Marasović, Leo Born, Juri Opitz, and Anette Frank. 2017. A Mention-Ranking Model for Abstract Anaphora Resolution. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. [link to paper]

    @inproceedings{marasovic2017mention-ranking,
      author = {Marasovi{\'c}, Ana and Born, Leo and Opitz, Juri and Frank, Anette},
      title = {A Mention-Ranking Model for Abstract Anaphora Resolution},
      booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
      year = {2017}
    }
    

  • Shereen Oraby, Vrindavan Harrison, Amita Misra, Ellen Riloff, and Marilyn Walker. 2017. Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog. In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2017). [link to paper]

    @inproceedings{oraby2017are-you,
      author = {Oraby, Shereen and Harrison, Vrindavan and Misra, Amita and Riloff, Ellen and Walker, Marilyn},
      title = {{Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog}},
      booktitle = {Proceedings of the 18th Annual SIGdial Meeting on  Discourse and Dialogue (SIGDIAL 2017)},
      year = {2017}
    }
    

  • Dan Roth and Vivek Srikumar. 2017. Integer Linear Programming Formulations in Natural Language Processing. In EACL. [link to paper]

    @inproceedings{roth2017integer,
      author = {Roth, Dan and Srikumar, Vivek},
      title = {{Integer Linear Programming Formulations in Natural Language Processing}},
      booktitle = {EACL},
      year = {2017}
    }
    

  • Nathan Schneider, Jena D. Hwang, Archna Bhatia, Na-Rae Han, Vivek Srikumar, Tim O'Gorman, and Omri Abend. 2017. Adposition Supersenses v2. arXiv preprint arXiv:1704.02134. [link to paper]

    @unpublished{schneider2017adposition,
      author = {Schneider, Nathan and Hwang, Jena D. and Bhatia, Archna and Han, Na-Rae and Srikumar, Vivek and O'Gorman, Tim and Abend, Omri},
      title = {{Adposition Supersenses v2}},
      note = {arXiv preprint arXiv:1704.02134},
      year = {2017}
    }
    

  • Vivek Srikumar. 2017. An Algebra for Feature Extraction. In Annual meeting of the Association of Computational Linguistics (ACL). [link to paper]

    @inproceedings{srikumar2017algebra,
      author = {Srikumar, Vivek},
      title = {{An Algebra for Feature Extraction}},
      booktitle = {Annual meeting of the Association of Computational Linguistics (ACL)},
      year = {2017}
    }
    

  • Kiri Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, and Karanjeet Singh. 2017. Mars Target Encyclopedia: Information Extraction for Planetary Science . In Third Planetary Data Workshop 2017. [link to paper]

    @inproceedings{wagstaff2017mars-target,
      author = {Wagstaff, Kiri and Francis, Raymond and Gowda, Thamme and Lu, You and Riloff, Ellen and Singh, Karanjeet},
      title = {{Mars Target Encyclopedia: Information Extraction for Planetary Science }},
      booktitle = {Third Planetary Data Workshop 2017},
      year = {2017}
    }
    

2016

  • Kai-Wei Chang, Gourab Kundu, Dan Roth, and Vivek Srikumar. 2016. Learning and Inference in Structured Prediction Models. In AAAI-16 Tutorial Forum. [link to paper]

    @inproceedings{chang2016learning,
      author = {Chang, Kai-Wei and Kundu, Gourab and Roth, Dan and Srikumar, Vivek},
      title = {{Learning and Inference in Structured Prediction Models}},
      booktitle = {AAAI-16 Tutorial Forum},
      year = {2016}
    }
    

  • Haibo Ding and Ellen Riloff. 2016. Acquiring Knowledge of Affective Events from Blogs using Label Propagation. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016). [link to paper]

    @inproceedings{ding2016acquiring,
      author = {Ding, Haibo and Riloff, Ellen},
      title = {{Acquiring Knowledge of Affective Events from Blogs using Label Propagation}},
      booktitle = {Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016)},
      year = {2016}
    }
    

  • Ruihong Huang, Ignacio Cases, Dan Jurafsky, Cleo Condoravdi, and Ellen Riloff. 2016. Distinguishing Past, On-going, and Future Events: The EventStatus Corpus. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP 2016). [link to paper]

    @inproceedings{huang2016distinguishing,
      author = {Huang, Ruihong and Cases, Ignacio and Jurafsky, Dan and Condoravdi, Cleo and Riloff, Ellen},
      title = {{Distinguishing Past, On-going, and Future Events: The EventStatus Corpus}},
      booktitle = {Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP 2016)},
      year = {2016}
    }
    

  • Shachi Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, and Ellen Riloff. 2016. Unsupervised Models for Predicting Strategic Relations between Organizations. In The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016). [link to paper]

    @inproceedings{kumar2016unsupervised,
      author = {Kumar, Shachi and Pujara, Jay and Getoor, Lise and Mares, David and Gupta, Dipak and Riloff, Ellen},
      title = {{Unsupervised Models for Predicting Strategic Relations between Organizations}},
      booktitle = {The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016)},
      year = {2016}
    }
    

  • Tao Li and Vivek Srikumar. 2016. Exploiting Sentence Similarities for Better Alignments. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). [link to paper]

    @inproceedings{li2016exploiting,
      author = {Li, Tao and Srikumar, Vivek},
      title = {{Exploiting Sentence Similarities for Better Alignments}},
      booktitle = {Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},
      year = {2016}
    }
    

  • Ana Marasović, Mengfei Zhou, Alexis Palmer, and Anette Frank. 2016. Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations. In Linguistic Issues in Language Technology, Volume 14, 2016 - Modality: Logic, Semantics, Annotation, and Machine Learning. [link to paper]

    @inproceedings{marasovic2016modal-sense,
      author = {Marasovi{\'c}, Ana and Zhou, Mengfei and Palmer, Alexis and Frank, Anette},
      title = {Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations},
      booktitle = {Linguistic Issues in Language Technology, Volume 14, 2016 - Modality: Logic, Semantics, Annotation, and Machine Learning},
      year = {2016}
    }
    

  • Ana Marasović and Anette Frank. 2016. Multilingual Modal Sense Classification using a Convolutional Neural Network. In Proceedings of the 1st Workshop on Representation Learning for NLP. [link to paper]

    @inproceedings{marasovic2016multilingual,
      author = {Marasovi{\'c}, Ana and Frank, Anette},
      title = {Multilingual Modal Sense Classification using a Convolutional Neural Network},
      booktitle = {Proceedings of the 1st Workshop on Representation Learning for {NLP}},
      year = {2016}
    }
    

  • John Moeller, Vivek Srikumar, Sarathkrishna Swaminathan, Suresh Venkatasubramanian, and Dustin Webb. 2016. Continuous Kernel Learning. In European Conference on Machine Learning (ECML). [link to paper]

    @inproceedings{moeller2016continuous,
      author = {Moeller, John and Srikumar, Vivek and Swaminathan, Sarathkrishna and Venkatasubramanian, Suresh and Webb, Dustin},
      title = {{Continuous Kernel Learning}},
      booktitle = {European Conference on Machine Learning (ECML)},
      year = {2016}
    }
    

  • Shereen Oraby, Vrindavan Harrison, Lena Reed, Ernesto Hernandez, Ellen Riloff, and Marilyn Walker. 2016. Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue. In Proceedings of the 17th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2016). [link to paper]

    @inproceedings{oraby2016creating,
      author = {Oraby, Shereen and Harrison, Vrindavan and Reed, Lena and Hernandez, Ernesto and Riloff, Ellen and Walker, Marilyn},
      title = {{Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue}},
      booktitle = { Proceedings of the 17th Annual SIGdial Meeting on  Discourse and Dialogue (SIGDIAL 2016)},
      year = {2016}
    }
    

  • Xingyuan Pan and Vivek Srikumar. 2016. Expressiveness of Rectifier Networks. In Proceedings of the International Conference on Machine Learning (ICML). [link to paper]

    @inproceedings{pan2016expressiveness,
      author = {Pan, Xingyuan and Srikumar, Vivek},
      title = {Expressiveness of Rectifier Networks},
      booktitle = {Proceedings of the International Conference on Machine Learning (ICML)},
      year = {2016}
    }
    

  • Ashequl Qadir, Ellen Riloff, and Marilyn Walker. 2016. Automatically Inferring Implicit Properties in Similes. In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2016). [link to paper]

    @inproceedings{qadir2016automatically,
      author = {Qadir, Ashequl and Riloff, Ellen and Walker, Marilyn},
      title = {{Automatically Inferring Implicit Properties in Similes}},
      booktitle = {Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2016)},
      year = {2016}
    }
    

  • Mark Sammons, Christos Christodoulopoulos, Parisa Kordjamshidi, Daniel Khashabi, Vivek Srikumar, Paul Vijayakumar, Mazin Bokhari, Xinbo Wu, and Dan Roth. 2016. EDISON: Feature Extraction for NLP, Simplified. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16). [link to paper]

    @inproceedings{sammons2016edison,
      author = {Sammons, Mark and Christodoulopoulos, Christos and Kordjamshidi, Parisa and Khashabi, Daniel and Srikumar, Vivek and Vijayakumar, Paul and Bokhari, Mazin and Wu, Xinbo and Roth, Dan},
      title = {{EDISON: Feature Extraction for NLP, Simplified}},
      booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)},
      year = {2016}
    }
    

  • Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Abhijit Suresh, Meredith Green, Kathryn Conger, Tim O'Gorman, and Martha Palmer. 2016. A corpus of preposition supersenses in English web reviews. In Linguistic Annotation Workshop. [link to paper]

    @inproceedings{schneider2016corpus,
      author = {Schneider, Nathan and Hwang, Jena D. and Srikumar, Vivek and Suresh, Abhijit and Green, Meredith and Conger, Kathryn and O'Gorman, Tim and Palmer, Martha},
      title = {{A corpus of preposition supersenses in English web reviews}},
      booktitle = {Linguistic Annotation Workshop},
      year = {2016}
    }
    

  • Ali Shafiee, Anirban Nag, Naveen Muralimanohar, Rajeev Balasubramonian, John Paul Strachan, Miao Hu, R. Stanley Williams, and Vivek Srikumar. 2016. ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars. In ISCA. [link to paper]
    IEEE Micro top picks of the year, honorable mention

    @inproceedings{shafiee2016isaac,
      author = {Shafiee, Ali and Nag, Anirban and Muralimanohar, Naveen and Balasubramonian, Rajeev and Strachan, John Paul and Hu, Miao and Williams, R. Stanley and Srikumar, Vivek},
      title = {{ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars}},
      booktitle = {ISCA},
      year = {2016}
    }
    

  • Michael Tanana, Kevin A. Hallgren, Zac E. Imel, David C. Atkins, and Vivek Srikumar. 2016. A Comparison of Natural Language Processing Methods for Automated Coding of Motivational Interviewing. Journal of Substance Abuse Treatment, 65. [link to paper]

    @article{tanana2016comparison,
      author = {Tanana, Michael and Hallgren, Kevin A. and Imel, Zac E. and Atkins, David C. and Srikumar, Vivek},
      title = {{A Comparison of Natural Language Processing Methods for Automated Coding of Motivational Interviewing}},
      journal = {Journal of Substance Abuse Treatment},
      year = {2016},
      volume = {65}
    }
    

  • Michael Tanana, Aaron Dembe, Christina S. Soma, David C. Atkins, Zac Imel, and Vivek Srikumar. 2016. Is Sentiment in Movies the Same as Sentiment in Psychotherapy? Comparisons Using a New Psychotherapy Sentiment Database. In Proceedings of the 3nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality. [link to paper]

    @inproceedings{tanana2016is-sentiment,
      author = {Tanana, Michael and Dembe, Aaron and Soma, Christina S. and Atkins, David C. and Imel, Zac and Srikumar, Vivek},
      title = {{Is Sentiment in Movies the Same as Sentiment in Psychotherapy? Comparisons Using a New Psychotherapy Sentiment Database}},
      booktitle = {Proceedings of the 3nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality},
      year = {2016}
    }
    

  • Kiri Wagstaff, Ellen Riloff, Nina Lanza, Chris Mattmann, and Paul Ramirez. 2016. Creating a Mars Target Encyclopedia by Extracting Information from the Planetary Science Literature. In AAAI-16 Workshop on Knowledge Extraction from Text (KET). [link to paper]

    @inproceedings{wagstaff2016creating,
      author = {Wagstaff, Kiri and Riloff, Ellen and Lanza, Nina and Mattmann, Chris and Ramirez, Paul},
      title = {{Creating a Mars Target Encyclopedia by Extracting Information from the Planetary Science Literature}},
      booktitle = { AAAI-16 Workshop on Knowledge Extraction from Text (KET).},
      year = {2016}
    }
    

2015

  • Haibo Ding and Ellen Riloff. 2015. Extracting Information about Medication Use from Veterinary Discussions. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL 2015). [link to paper]

    @inproceedings{ding2015extracting,
      author = {Ding, Haibo and Riloff, Ellen},
      title = {{Extracting Information about Medication Use from Veterinary Discussions}},
      booktitle = {  Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL 2015)},
      year = {2015}
    }
    

  • Youngjun Kim and Ellen Riloff. 2015. Stacked Generalization for Medical Concept Extraction from Clinical Notes. In ACL 2015 Workshop on Biomedical Natural Language Processing (BioNLP 2015). [link to paper]

    @inproceedings{kim2015stacked,
      author = {Kim, Youngjun and Riloff, Ellen},
      title = {{Stacked Generalization for Medical Concept Extraction from Clinical Notes}},
      booktitle = {ACL 2015 Workshop on Biomedical Natural Language Processing (BioNLP 2015)},
      year = {2015}
    }
    

  • Youngjun Kim, Ellen Riloff, and John Hurdle. 2015. A Study of Concept Extraction Across Different Types of Clinical Notes. In Proceedings of the AMIA 2015 Annual Symposium (AMIA 2015). [link to paper]

    @inproceedings{kim2015study-of,
      author = {Kim, Youngjun and Riloff, Ellen and Hurdle, John},
      title = {{A Study of Concept Extraction Across Different Types of Clinical Notes}},
      booktitle = { Proceedings of the AMIA 2015 Annual Symposium (AMIA 2015)},
      year = {2015}
    }
    

  • Nina McCurdy, Vivek Srikumar, and Miriah Meyer. 2015. RhymeDesign: A Tool for Analyzing Sonic Devices in Poetry. In Proceedings of the Fourth Workshop on Computational Linguistics for Literature. [link to paper]

    @inproceedings{mccurdy2015rhymedesign,
      author = {McCurdy, Nina and Srikumar, Vivek and Meyer, Miriah},
      title = {{RhymeDesign: A Tool for Analyzing Sonic Devices in Poetry}},
      booktitle = {Proceedings of the Fourth Workshop on Computational Linguistics for Literature},
      year = {2015}
    }
    

  • Shereen Oraby, Lena Reed, Ryan Compton, Ellen Riloff, Marilyn Walker, and Steve Whittaker. 2015. And That's a Fact: Distinguishing Factual and Emotional Argumentation in Online Dialogue. In 2nd Workshop on Argumentation Mining at NAACL 2015. [link to paper]

    @inproceedings{oraby2015and-thats,
      author = {Oraby, Shereen and Reed, Lena and Compton, Ryan and Riloff, Ellen and Walker, Marilyn and Whittaker, Steve},
      title = {{And That's a Fact: Distinguishing Factual and Emotional Argumentation in Online Dialogue}},
      booktitle = { 2nd Workshop on Argumentation Mining at NAACL 2015},
      year = {2015}
    }
    

  • Ashequl Qadir, Ellen Riloff, and Marilyn Walker. 2015. Learning to Recognize Affective Polarity in Similes. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015). [link to paper]

    @inproceedings{qadir2015learning,
      author = {Qadir, Ashequl and Riloff, Ellen and Walker, Marilyn},
      title = {{Learning to Recognize Affective Polarity in Similes}},
      booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015)},
      year = {2015}
    }
    

  • Nathan Schneider, Vivek Srikumar, Jena D. Hwang, and Martha Palmer. 2015. A Hierarchy with, of, and for Preposition Supersenses. In Linguistic Annotation Workshop. [link to paper]

    @inproceedings{schneider2015hierarchy,
      author = {Schneider, Nathan and Srikumar, Vivek and Hwang, Jena D. and Palmer, Martha},
      title = {{A Hierarchy with, of, and for Preposition Supersenses}},
      booktitle = {Linguistic Annotation Workshop},
      year = {2015}
    }
    

  • Michael Tanana, Kevin Hallgren, Zac Imel, David Atkins, Padhraic Smyth, and Vivek Srikumar. 2015. Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing. In Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality. [link to paper]

    @inproceedings{tanana2015recursive,
      author = {Tanana, Michael and Hallgren, Kevin and Imel, Zac and Atkins, David and Smyth, Padhraic and Srikumar, Vivek},
      title = {{Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing}},
      booktitle = {Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality},
      year = {2015}
    }
    

2014

  • Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, and Christopher D. Manning. 2014. Modeling Biological Processes for Reading Comprehension. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). [link to paper]
    Best paper award

    @inproceedings{berant2014modeling,
      author = {Berant, Jonathan and Srikumar, Vivek and Chen, Pei-Chun and Vander Linden, Abby and Harding, Brittany and Huang, Brad and Clark, Peter and Manning, Christopher D.},
      title = {{Modeling Biological Processes for Reading Comprehension}},
      booktitle = {Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},
      year = {2014}
    }
    

  • Lalindra De Silva and Ellen Riloff. 2014. User Type Classification of Tweets with Implications for Event Recognition. In 2014 ACL Joint Workshop on Social Dynamics and Personal Attributes in Social Media. [link to paper]

    @inproceedings{desilva2014user-type,
      author = {De Silva, Lalindra and Riloff, Ellen},
      title = {{User Type Classification of Tweets with Implications for Event Recognition}},
      booktitle = {2014 ACL Joint Workshop on Social Dynamics and Personal Attributes in Social Media},
      year = {2014}
    }
    

  • Ashequl Qadir and Ellen Riloff. 2014. Learning Emotion Indicators from Tweets: Hashtags, Hashtag Patterns, and Phrases. In 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014). [link to paper]

    @inproceedings{qadir2014learning,
      author = {Qadir, Ashequl and Riloff, Ellen},
      title = {{Learning Emotion Indicators from Tweets: Hashtags, Hashtag Patterns, and Phrases}},
      booktitle = {2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014)},
      year = {2014}
    }
    

  • Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktaschel, Larysa Visengeriyeva, and Jan Noessner. 2014. WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. In International Workshop on Statistical Relational AI (StarAI). [link to paper]

    @inproceedings{riedel2014wolfe,
      author = {Riedel, Sebastian and Singh, Sameer and Srikumar, Vivek and Rocktaschel, Tim and Visengeriyeva, Larysa and Noessner, Jan},
      title = {{WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming}},
      booktitle = {International Workshop on Statistical Relational AI (StarAI)},
      year = {2014}
    }
    

  • Alla Rozovskaya, Dan Roth, and Vivek Srikumar. 2014. Correcting Grammatical Verb Errors. In Conference of the European Chapter of the ACL (EACL). [link to paper]

    @inproceedings{rozovskaya2014correcting,
      author = {Rozovskaya, Alla and Roth, Dan and Srikumar, Vivek},
      title = {{Correcting Grammatical Verb Errors}},
      booktitle = {Conference of the European Chapter of the ACL (EACL)},
      year = {2014}
    }
    

  • Vivek Srikumar and Christopher D. Manning. 2014. Learning Distributed Representations for Structured Output Prediction. In Advances in Neural Information Processing Systems. [link to paper]
    Spotlight presentation

    @inproceedings{srikumar2014learning,
      author = {Srikumar, Vivek and Manning, Christopher D.},
      title = {{Learning Distributed Representations for Structured Output Prediction}},
      booktitle = {Advances in Neural Information Processing Systems},
      year = {2014}
    }
    

2013

  • Kai-Wei Chang, Vivek Srikumar, and Dan Roth. 2013. Multi-core Structural SVM Training. In European Conference on Machine Learning (ECML). [link to paper]

    @inproceedings{chang2013multi-core,
      author = {Chang, Kai-Wei and Srikumar, Vivek and Roth, Dan},
      title = {{Multi-core Structural SVM Training}},
      booktitle = {European Conference on Machine Learning (ECML)},
      year = {2013}
    }
    

  • Nathan Gilbert and Ellen Riloff. 2013. Domain-Specific Coreference Resolution with Lexicalized Features. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013). . [link to paper]

    @inproceedings{gilbert2013domain-specific,
      author = {Gilbert, Nathan and Riloff, Ellen},
      title = {{Domain-Specific Coreference Resolution with Lexicalized Features}},
      booktitle = {Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013). },
      year = {2013}
    }
    

  • Amit Goyal, Ellen Riloff, and Hal Daume III. 2013. A Computational Model for Plot Units. Computational Intelligence, 29. [link to paper]

    @article{goyal2013computational,
      author = {Goyal, Amit and Riloff, Ellen and Daume III, Hal},
      title = {{A Computational Model for Plot Units}},
      journal = {Computational Intelligence},
      year = {2013},
      volume = {29}
    }
    

  • Ruihong Huang and Ellen Riloff. 2013. Classifying Message Board Posts with an Extracted Lexicon of Patient Attributes. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013). [link to paper]

    @inproceedings{huang2013classifying,
      author = {Huang, Ruihong and Riloff, Ellen},
      title = {{Classifying Message Board Posts with an Extracted Lexicon of Patient Attributes}},
      booktitle = { Proceedings of the 2013  Conference on Empirical Methods in Natural Language Processing (EMNLP 2013)},
      year = {2013}
    }
    

  • Ruihong Huang and Ellen Riloff. 2013. Multi-faceted Event Recognition with Bootstrapped Dictionaries. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2013). [link to paper]

    @inproceedings{huang2013multi-faceted,
      author = {Huang, Ruihong and Riloff, Ellen},
      title = {{Multi-faceted Event Recognition with Bootstrapped Dictionaries}},
      booktitle = { Proceedings of the 2013  Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2013)},
      year = {2013}
    }
    

  • Gourab Kundu, Vivek Srikumar, and Dan Roth. 2013. Margin-based Decomposed Amortized Inference. In Annual meeting of the Association of Computational Linguistics (ACL). [link to paper]

    @inproceedings{kundu2013margin-based,
      author = {Kundu, Gourab and Srikumar, Vivek and Roth, Dan},
      title = {{Margin-based Decomposed Amortized Inference}},
      booktitle = {Annual meeting of the Association of Computational Linguistics (ACL)},
      year = {2013}
    }
    

  • Ashequl Qadir and Ellen Riloff. 2013. Bootstrapped Learning of Emotion Hashtags #hashtags4you. In The 4th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA 2013). [link to paper]

    @inproceedings{qadir2013bootstrapped,
      author = {Qadir, Ashequl and Riloff, Ellen},
      title = {{Bootstrapped Learning of Emotion  Hashtags #hashtags4you}},
      booktitle = {The 4th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA 2013)},
      year = {2013}
    }
    

  • Ellen Riloff, Ashequl Qadir, Prafulla Surve, Lalindra De Silva, Nathan Gilbert, and Ruihong Huang. 2013. Sarcasm as Contrast between a Positive Sentiment and Negative Situation. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013). [link to paper]

    @inproceedings{riloff2013sarcasm,
      author = {Riloff, Ellen and Qadir, Ashequl and Surve, Prafulla and De Silva, Lalindra and Gilbert, Nathan and Huang, Ruihong},
      title = {{Sarcasm as Contrast between a Positive Sentiment and Negative Situation}},
      booktitle = { Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013)},
      year = {2013}
    }
    

  • Vivek Srikumar and Dan Roth. 2013. An Inventory of Preposition Relations. arXiv preprint arXiv:1305.5785. [link to paper]

    @unpublished{srikumar2013inventory,
      author = {Srikumar, Vivek and Roth, Dan},
      title = {{An Inventory of Preposition Relations}},
      note = {arXiv preprint arXiv:1305.5785},
      year = {2013}
    }
    

  • Vivek Srikumar and Dan Roth. 2013. Modeling Semantic Relations Expressed by Prepositions. Transactions of the Association for Computational Linguistics (TACL), 1. [link to paper]

    @article{srikumar2013modeling,
      author = {Srikumar, Vivek and Roth, Dan},
      title = {{Modeling Semantic Relations Expressed by Prepositions}},
      journal = {Transactions of the Association for Computational Linguistics (TACL)},
      year = {2013},
      volume = {1}
    }
    

  • Vivek Srikumar. 2013. The Semantics of Role Labeling. PhD thesis, University of Illinois at Urbana-Champaign. [link to paper]

    @phdthesis{srikumar2013semantics,
      author = {Srikumar, Vivek},
      title = {{The Semantics of Role Labeling}},
      school = {University of Illinois at Urbana-Champaign},
      year = {2013}
    }
    

  • Vivek Srikumar. 2013. Soft Constraints in Integer Linear Programs. Unpublished note. [link to paper]

    @unpublished{srikumar2013soft-constraints,
      author = {Srikumar, Vivek},
      title = {{Soft Constraints in Integer Linear Programs}},
      note = {Unpublished note},
      year = {2013}
    }
    

2012

  • James Clarke, Vivek Srikumar, Mark Sammons, and Dan Roth. 2012. An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines). In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12). [link to paper]

    @inproceedings{clarke2012nlp-curator,
      author = {Clarke, James and Srikumar, Vivek and Sammons, Mark and Roth, Dan},
      title = {{An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines)}},
      booktitle = {Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)},
      year = {2012}
    }
    

  • Ian Endres, Vivek Srikumar, Ming-Wei Chang, and Derek Hoiem. 2012. Learning Shared Body Plans. In Conference on Computer Vision and Pattern Recognition (CVPR). [link to paper]

    @inproceedings{endres2012learning,
      author = {Endres, Ian and Srikumar, Vivek and Chang, Ming-Wei and Hoiem, Derek},
      title = {Learning Shared Body Plans},
      booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
      year = {2012}
    }
    

  • Dan Goldwasser, Vivek Srikumar, and Dan Roth. 2012. Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP. In NAACL HLT Tutorial Abstracts. [link to paper]

    @inproceedings{goldwasser2012predicting,
      author = {Goldwasser, Dan and Srikumar, Vivek and Roth, Dan},
      title = {{Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP}},
      booktitle = {NAACL HLT Tutorial Abstracts},
      year = {2012}
    }
    

  • Ruihong Huang and Ellen Riloff. 2012. Bootstrapped Training of Event Extraction Classifiers. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012). [link to paper]

    @inproceedings{huang2012bootstrapped,
      author = {Huang, Ruihong and Riloff, Ellen},
      title = {{Bootstrapped Training of Event Extraction Classifiers}},
      booktitle = { Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012)},
      year = {2012}
    }
    

  • Ruihong Huang and Ellen Riloff. 2012. Modeling Textual Cohesion for Event Extraction. In Proceedings of the 26th Conference on Artificial Intelligence (AAAI 2012). [link to paper]

    @inproceedings{huang2012modeling,
      author = {Huang, Ruihong and Riloff, Ellen},
      title = {{Modeling Textual Cohesion for Event Extraction}},
      booktitle = { Proceedings of the 26th Conference on Artificial Intelligence (AAAI 2012)},
      year = {2012}
    }
    

  • Ashequl Qadir and Ellen Riloff. 2012. Ensemble-based Semantic Lexicon Induction for Semantic Tagging. In Proceedings of the First Joint Conference on Lexical and Computational Semantics (*SEM 2012). [link to paper]
    Best Long Paper Award

    @inproceedings{qadir2012ensemble-based,
      author = {Qadir, Ashequl and Riloff, Ellen},
      title = {{Ensemble-based Semantic Lexicon Induction for Semantic Tagging}},
      booktitle = {Proceedings of the First Joint Conference on Lexical and Computational Semantics (*SEM 2012)},
      year = {2012}
    }
    

  • Vivek Srikumar. 2012. A brief introduction to inference using Lagrangian Relaxation. Unpublished note. [link to paper]

    @unpublished{srikumar2012brief-introduction,
      author = {Srikumar, Vivek},
      title = {{A brief introduction to inference using Lagrangian Relaxation}},
      note = {Unpublished note},
      year = {2012}
    }
    

  • Vivek Srikumar, Gourab Kundu, and Dan Roth. 2012. On Amortizing Inference Cost for Structured Prediction. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). [link to paper]

    @inproceedings{srikumar2012on-amortizing,
      author = {Srikumar, Vivek and Kundu, Gourab and Roth, Dan},
      title = {{On Amortizing Inference Cost for Structured Prediction}},
      booktitle = {Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},
      year = {2012}
    }
    

2011

  • Ruihong Huang and Ellen Riloff. 2011. Peeling Back the Layers: Detecting Event Role Fillers in Secondary Contexts. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL 2011). [link to paper]

    @inproceedings{huang2011peeling,
      author = {Huang, Ruihong and Riloff, Ellen},
      title = {{Peeling Back the Layers: Detecting Event Role Fillers in Secondary Contexts}},
      booktitle = { Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL 2011)},
      year = {2011}
    }
    

  • Youngjun Kim, Ellen Riloff, and Stéphane Meystre. 2011. Improving Classification of Medical Assertions in Clinical Notes. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL 2011). [link to paper]

    @inproceedings{kim2011improving,
      author = {Kim, Youngjun and Riloff, Ellen and Meystre, Stéphane},
      title = {{Improving Classification of Medical Assertions in Clinical Notes}},
      booktitle = { Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL 2011).},
      year = {2011}
    }
    

  • Youngjun Kim, Ellen Riloff, and Nathan Gilbert. 2011. The Taming of Reconcile as a Biomedical Coreference Resolver. In ACL 2011 Workshop on Biomedical Natural Language Processing (BioNLP 2011), Shared Task Paper. [link to paper]

    @inproceedings{kim2011taming,
      author = {Kim, Youngjun and Riloff, Ellen and Gilbert, Nathan},
      title = {{The Taming of Reconcile as a Biomedical Coreference Resolver}},
      booktitle = {ACL 2011 Workshop on Biomedical Natural Language Processing (BioNLP 2011), Shared Task Paper},
      year = {2011}
    }
    

  • Sandeep Pokkunuri, Cartic Ramakrishnan, Ellen Riloff, Eduard Hovy, and Gully Burns. 2011. The Role of Information Extraction in the Design of a Document Triage Application for Biocuration. In ACL 2011 Workshop on Biomedical Natural Language Processing (BioNLP 2011). [link to paper]

    @inproceedings{pokkunuri2011role-of,
      author = {Pokkunuri, Sandeep and Ramakrishnan, Cartic and Riloff, Ellen and Hovy, Eduard and Burns, Gully},
      title = {{The Role of Information Extraction in the Design of a Document Triage Application for Biocuration}},
      booktitle = {ACL 2011 Workshop on Biomedical Natural Language Processing (BioNLP 2011)},
      year = {2011}
    }
    

  • Ashequl Qadir and Ellen Riloff. 2011. Classifying Sentences as Speech Acts in Message Board Posts. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP 2011). [link to paper]

    @inproceedings{qadir2011classifying,
      author = {Qadir, Ashequl and Riloff, Ellen},
      title = {{Classifying Sentences as Speech Acts in Message Board Posts}},
      booktitle = {Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP 2011).},
      year = {2011}
    }
    

  • Vivek Srikumar and Dan Roth. 2011. A Joint Model for Extended Semantic Role Labeling. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). [link to paper]

    @inproceedings{srikumar2011joint-model,
      author = {Srikumar, Vivek and Roth, Dan},
      title = {{A Joint Model for Extended Semantic Role Labeling}},
      booktitle = {Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},
      year = {2011}
    }
    

  • Janyce Wiebe and Ellen Riloff. 2011. Finding Mutual Benefit between Subjectivity Analysis and Information Extraction. IEEE Transactions on Affective Computing, 2. [link to paper]

    @article{wiebe2011finding,
      author = {Wiebe, Janyce and Riloff, Ellen},
      title = {{Finding Mutual Benefit between Subjectivity Analysis and Information Extraction}},
      journal = {IEEE Transactions on Affective Computing},
      year = {2011},
      volume = {2}
    }
    

2010

  • Ming-Wei Chang, Dan Goldwasser, Dan Roth, and Vivek Srikumar. 2010. Discriminative Learning over Constrained Latent Representations. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics. [link to paper]

    @inproceedings{chang2010discriminative,
      author = {Chang, Ming-Wei and Goldwasser, Dan and Roth, Dan and Srikumar, Vivek},
      title = {{Discriminative Learning over Constrained Latent Representations}},
      booktitle = {Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics},
      year = {2010}
    }
    

  • Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, and Dan Roth. 2010. Structured Output Learning with Indirect Supervision. In Proceedings of the International Conference on Machine Learning (ICML). [link to paper]

    @inproceedings{chang2010structured,
      author = {Chang, Ming-Wei and Srikumar, Vivek and Goldwasser, Dan and Roth, Dan},
      title = {{Structured Output Learning with Indirect Supervision}},
      booktitle = {Proceedings of the International Conference on Machine Learning (ICML)},
      year = {2010}
    }
    

  • Amit Goyal, Ellen Riloff, and Hal Daume III. 2010. Automatically Producing Plot Unit Representations for Narrative Text. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing (EMNLP 2010). [link to paper]

    @inproceedings{goyal2010automatically,
      author = {Goyal, Amit and Riloff, Ellen and Daume III, Hal},
      title = {{Automatically Producing Plot Unit Representations for Narrative Text}},
      booktitle = {Proceedings of the 2010  Conference on Empirical Methods in Natural Language Processing (EMNLP 2010)},
      year = {2010}
    }
    

  • Amit Goyal, Ellen Riloff, Hal Daume III, and Nathan Gilbert. 2010. Toward Plot Units: Automatic Affect State Analysis. In NAACL-HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text. [link to paper]

    @inproceedings{goyal2010toward,
      author = {Goyal, Amit and Riloff, Ellen and Daume III, Hal and Gilbert, Nathan},
      title = {{Toward Plot Units:  Automatic Affect State Analysis}},
      booktitle = {NAACL-HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text.},
      year = {2010}
    }
    

  • Jerry Hobbs and Ellen Riloff. 2010. Handbook of Natural Language Processing, 2nd Edition. In Nitin Indurkhya and Fred J. Damerau, editors. Chapman & Hall/CRC Press, Taylor & Francis Group, edition. [link to paper]

    @inbook{hobbs2010handbook,
      author = {Hobbs, Jerry and Riloff, Ellen},
      editor = {Indurkhya, Nitin and Damerau, Fred J.},
      title = {Handbook of Natural Language Processing, 2nd Edition},
      chapter = {{Information Extraction}},
      publisher = {Chapman & Hall/CRC Press, Taylor & Francis Group},
      year = {2010}
    }
    

  • Ruihong Huang and Ellen Riloff. 2010. Inducing Domain-specific Semantic Class Taggers from (Almost) Nothing. In Proceedings of The 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010). [link to paper]

    @inproceedings{huang2010inducing,
      author = {Huang, Ruihong and Riloff, Ellen},
      title = {{Inducing Domain-specific Semantic Class Taggers from (Almost) Nothing}},
      booktitle = {Proceedings of The 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010).},
      year = {2010}
    }
    

  • Cartic Ramakrishnan, William Baumgartner Jr, Judith Blake, Gully APC Burns, K. Bretonnel Cohen, Harold Drabkin, Janan Eppig, Eduard Hovy, Chun-Nan Hsu, Lawrence Hunter, Tommy Ingulfsen, Hiroaki Onda, Sandeep Pokkunuri, Ellen Riloff, Roeder Roeder, and Karin Verspoor. 2010. Building the Scientific Knowledge Mine (SciKnowMine): a community-driven framework for text mining tools in direct service to biocuration. In LREC-10 Workshop on New Challenges for NLP Frameworks. [link to paper]

    @inproceedings{ramakrishnan2010building,
      author = {Ramakrishnan, Cartic and Baumgartner Jr, William and Blake, Judith and Burns, Gully APC and Cohen, K. Bretonnel and Drabkin, Harold and Eppig, Janan and Hovy, Eduard and Hsu, Chun-Nan and Hunter, Lawrence and Ingulfsen, Tommy and Onda, Hiroaki and Pokkunuri, Sandeep and Riloff, Ellen and Roeder, Roeder and Verspoor, Karin},
      title = {{Building the Scientific Knowledge Mine (SciKnowMine): a community-driven framework for text mining tools in direct service to biocuration}},
      booktitle = { LREC-10 Workshop on New Challenges for NLP Frameworks},
      year = {2010}
    }
    

  • Veselin Stoyanov, Claire Cardie, Nathan Gilbert, Ellen Riloff, David Buttler, and David Hysom. 2010. Coreference Resolution with Reconcile. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010). [link to paper]

    @inproceedings{stoyanov2010coreference,
      author = {Stoyanov, Veselin and Cardie, Claire and Gilbert, Nathan and Riloff, Ellen and Buttler, David and Hysom, David},
      title = {{Coreference Resolution with Reconcile}},
      booktitle = {Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010).},
      year = {2010}
    }
    

  • Veselin Stoyanov, Claire Cardie, Nathan Gilbert, Ellen Riloff, David Buttler, and David Hysom. 2010. Reconcile: A Coreference Resolution Research Platform, Technical Report. Technical Report LLNL-TR-420722, Lawrence Livermore National Lab. (LLNL). [link to paper]

    @techreport{stoyanov2010reconcile,
      author = {Stoyanov, Veselin and Cardie, Claire and Gilbert, Nathan and Riloff, Ellen and Buttler, David and Hysom, David},
      title = {{Reconcile: A Coreference Resolution Research Platform, Technical Report}},
      institution = {Lawrence Livermore National Lab. (LLNL)},
      number = {LLNL-TR-420722},
      year = {2010}
    }
    

2009

  • Eduard Hovy, Zornitsa Kozareva, and Ellen Riloff. 2009. Toward Completeness in Concept Extraction and Classification. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP-09). [link to paper]

    @inproceedings{hovy2009toward,
      author = {Hovy, Eduard and Kozareva, Zornitsa and Riloff, Ellen},
      title = {{Toward Completeness in Concept Extraction and Classification}},
      booktitle = {Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP-09)},
      year = {2009}
    }
    

  • Sean Igo and Ellen Riloff. 2009. Corpus-based Semantic Lexicon Induction with Web-based Corroboration. In NAACL-09 Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics. [link to paper]

    @inproceedings{igo2009corpus-based,
      author = {Igo, Sean and Riloff, Ellen},
      title = {{Corpus-based Semantic Lexicon Induction with Web-based Corroboration}},
      booktitle = { NAACL-09 Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics},
      year = {2009}
    }
    

  • Zornitsa Kozareva, Eduard Hovy, and Ellen Riloff. 2009. Learning and Evaluating the Content and Structure of a Term Taxonomy. In AAAI-09 Spring Symposium on Learning by Reading ad Learning to Read. . [link to paper]

    @inproceedings{kozareva2009learning,
      author = {Kozareva, Zornitsa and Hovy, Eduard and Riloff, Ellen},
      title = {{Learning and Evaluating the Content and Structure of a Term Taxonomy}},
      booktitle = { AAAI-09 Spring Symposium on Learning by Reading ad Learning to Read. },
      year = {2009}
    }
    

  • Siddarth Patwardhan and Ellen Riloff. 2009. A Unified Model of Phrasal and Sentential Evidence for Information Extraction. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP-09). [link to paper]

    @inproceedings{patwardhan2009unified,
      author = {Patwardhan, Siddarth and Riloff, Ellen},
      title = {{A Unified Model of Phrasal and Sentential Evidence for Information Extraction}},
      booktitle = { Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP-09)},
      year = {2009}
    }
    

  • Mark Sammons, V.G. Vinod Vydiswaran, Tim Vieira, Nikhil Johri, Ming-Wei Chang, Dan Goldwasser, Vivek Srikumar, Gourab Kundu, Yuancheng Tu, Kevin Small, Joshua Rule, Quang Do, and Dan Roth. 2009. Relation Alignment for Textual Entailment Recognition. In Text Analysis Conference (TAC). [link to paper]

    @inproceedings{sammons2009relation,
      author = {Sammons, Mark and Vydiswaran, V.G. Vinod and Vieira, Tim and Johri, Nikhil and Chang, Ming-Wei and Goldwasser, Dan and Srikumar, Vivek and Kundu, Gourab and Tu, Yuancheng and Small, Kevin and Rule, Joshua and Do, Quang and Roth, Dan},
      title = {{Relation Alignment for Textual Entailment Recognition}},
      booktitle = {Text Analysis Conference (TAC)},
      year = {2009}
    }
    

  • Veselin Stoyanov, Nathan Gilbert, Claire Cardie, and Ellen Riloff. 2009. Conundrums in Noun Phrase Coreference Resolution: Making Sens-the-Art. In Proceedings of the Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP 2009). [link to paper]

    @inproceedings{stoyanov2009conundrums,
      author = {Stoyanov, Veselin and Gilbert, Nathan and Cardie, Claire and Riloff, Ellen},
      title = {{Conundrums in Noun Phrase Coreference Resolution: Making Sens-the-Art}},
      booktitle = { Proceedings of the Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP 2009)},
      year = {2009}
    }
    

2008

  • Ming-Wei Chang, Lev Ratinov, Dan Roth, and Vivek Srikumar. 2008. Importance of Semantic Represenation: Dataless Classification. In Proceedings of the National Conference on Artificial Intelligence (AAAI). [link to paper]

    @inproceedings{chang2008importance,
      author = {Chang, Ming-Wei and Ratinov, Lev and Roth, Dan and Srikumar, Vivek},
      title = {{Importance of Semantic Represenation: Dataless Classification}},
      booktitle = {Proceedings of the National Conference on Artificial Intelligence (AAAI)},
      year = {2008}
    }
    

  • Sean Igo and Ellen Riloff. 2008. Learning to Identify Reduced Passive Verb Phrases with a Shallow Parser. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08). [link to paper]

    @inproceedings{igo2008learning,
      author = {Igo, Sean and Riloff, Ellen},
      title = {{Learning to Identify Reduced Passive Verb Phrases with a Shallow Parser}},
      booktitle = { Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08)},
      year = {2008}
    }
    

  • Zornitsa Kozareva, Ellen Riloff, and Eduard Hovy. 2008. Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-08). [link to paper]

    @inproceedings{kozareva2008semantic,
      author = {Kozareva, Zornitsa and Riloff, Ellen and Hovy, Eduard},
      title = {{Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs}},
      booktitle = { Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-08).},
      year = {2008}
    }
    

  • Benjamin Liebald, Dan Roth, Neelay Shah, and Vivek Srikumar. 2008. Proactive Intrusion Detection. In Proceedings of the National Conference on Artificial Intelligence (AAAI). [link to paper]

    @inproceedings{liebald2008proactive,
      author = {Liebald, Benjamin and Roth, Dan and Shah, Neelay and Srikumar, Vivek},
      title = {{Proactive Intrusion Detection}},
      booktitle = {Proceedings of the National Conference on Artificial Intelligence (AAAI)},
      year = {2008}
    }
    

  • Lev Ratinov, Dan Roth, and Vivek Srikumar. 2008. Conceptual Search and Text Categorization. Technical Report UIUCDCS-R-2008-2932, University of Illinois. [link to paper]

    @techreport{ratinov2008conceptual,
      author = {Ratinov, Lev and Roth, Dan and Srikumar, Vivek},
      title = {{Conceptual Search and Text Categorization}},
      institution = {University of Illinois},
      number = {UIUCDCS-R-2008-2932},
      year = {2008}
    }
    

  • Vivek Srikumar, Roi Reichart, Mark Sammons, Ari Rappoport, and Dan Roth. 2008. Extraction of Entailed Semantic Relations Through Syntax-based Comma Resolution. In Proceedings of ACL-08: HLT. [link to paper]

    @inproceedings{srikumar2008extraction,
      author = {Srikumar, Vivek and Reichart, Roi and Sammons, Mark and Rappoport, Ari and Roth, Dan},
      title = {{Extraction of Entailed Semantic Relations Through Syntax-based Comma Resolution}},
      booktitle = {Proceedings of ACL-08: HLT},
      year = {2008}
    }
    

2007

  • Benjamin Liebald, Dan Roth, Neelay Shah, and Vivek Srikumar. 2007. Proactive Detection of Insider Attacks. Technical Report UIUCDCS-R-2007-2879, University of Illinois. [link to paper]

    @techreport{liebald2007proactive,
      author = {Liebald, Benjamin and Roth, Dan and Shah, Neelay and Srikumar, Vivek},
      title = {{Proactive Detection of Insider Attacks}},
      institution = {University of Illinois},
      number = {UIUCDCS-R-2007-2879},
      year = {2007}
    }
    

  • Siddarth Patwardhan and Ellen Riloff. 2007. Effective Information Extraction with Semantic Affinity Patterns and Relevant Regions. In Proceedings of the 2007 Conference on Empirical Methods in Natural Language Processing (EMNLP-07). [link to paper]

    @inproceedings{patwardhan2007effective,
      author = {Patwardhan, Siddarth and Riloff, Ellen},
      title = {{Effective Information Extraction with Semantic Affinity Patterns and Relevant Regions}},
      booktitle = { Proceedings of the 2007 Conference on Empirical Methods in Natural Language Processing (EMNLP-07)},
      year = {2007}
    }
    

  • William Phillips and Ellen Riloff. 2007. Exploiting Role-Identifying Nouns and Expressions for Information Extraction. In Proceedings of the 2007 Conference on Recent Advances in Natural Language Processing (RANLP-07). [link to paper]

    @inproceedings{phillips2007exploiting,
      author = {Phillips, William and Riloff, Ellen},
      title = {{Exploiting Role-Identifying Nouns and Expressions for Information Extraction}},
      booktitle = { Proceedings of the 2007 Conference on Recent Advances in Natural Language Processing (RANLP-07)},
      year = {2007}
    }
    

  • David Price, Ellen Riloff, and Joseph Zachary. 2007. A Study to Evaluate a Natural Language Interface for Computer Science Education. In AIED 2007 Workshop on Emerging Technologies for Inquiry-Based Learning in Science. . [link to paper]

    @inproceedings{price2007study-to,
      author = {Price, David and Riloff, Ellen and Zachary, Joseph},
      title = {{A Study to Evaluate a Natural Language Interface for Computer Science Education}},
      booktitle = { AIED 2007 Workshop on Emerging Technologies for Inquiry-Based Learning in Science.  },
      year = {2007}
    }
    

2006

  • Siddarth Patwardhan and Ellen Riloff. 2006. Learning Domain-Specific Information Extraction Patterns from the Web. In ACL 2006 Workshop on Information Extraction Beyond the Document. [link to paper]

    @inproceedings{patwardhan2006learning,
      author = {Patwardhan, Siddarth and Riloff, Ellen},
      title = {{Learning Domain-Specific Information Extraction Patterns from the Web}},
      booktitle = { ACL 2006 Workshop on Information Extraction Beyond the Document},
      year = {2006}
    }
    

  • Ellen Riloff, Gideon Mann, and William Phillips. 2006. Advances in Open Domain Question Answering. In T. Strzalkowski and S. Harabagiu, editors. Springer Series: Text, Speech and Language Technology, Vol. 32., edition. [link to paper]

    @inbook{riloff2006advances,
      author = {Riloff, Ellen and Mann, Gideon and Phillips, William},
      editor = {Strzalkowski, T. and Harabagiu, S.},
      title = {Advances in Open Domain Question Answering},
      chapter = {{Reverse-Engineering Question/Answer Collections from Ordinary Text}},
      publisher = {Springer Series: Text, Speech and Language Technology, Vol. 32.},
      year = {2006}
    }
    

  • Ellen Riloff, Siddarth Patwardhan, and Janyce Wiebe. 2006. Feature Subsumption for Opinion Analysis. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP-06). [link to paper]

    @inproceedings{riloff2006feature,
      author = {Riloff, Ellen and Patwardhan, Siddarth and Wiebe, Janyce},
      title = {{Feature Subsumption for Opinion Analysis}},
      booktitle = {Proceedings of the 2006 Conference  on Empirical Methods in Natural Language Processing (EMNLP-06)},
      year = {2006}
    }
    

2005

  • Yejin Choi, Claire Cardie, Ellen Riloff, and Siddarth Patwardhan. 2005. Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns. In Proceedings of the 2005 Human Language Technology Conference / Conference on Empirical Methods in Natural Language Processing (EMNLP 2005). [link to paper]

    @inproceedings{choi2005identifying,
      author = {Choi, Yejin and Cardie, Claire and Riloff, Ellen and Patwardhan, Siddarth},
      title = {{Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns}},
      booktitle = {Proceedings of the 2005 Human Language Technology Conference / Conference on Empirical Methods in Natural Language Processing (EMNLP 2005)},
      year = {2005}
    }
    

  • Ellen Riloff, Janyce Wiebe, and William Phillips. 2005. Exploiting Subjectivity Classification to Improve Information Extraction. In Proceedings of the 20th National Conference on Artificial Intelligence (AAAI 2005). [link to paper]

    @inproceedings{riloff2005exploiting,
      author = {Riloff, Ellen and Wiebe, Janyce and Phillips, William},
      title = {{Exploiting Subjectivity Classification to Improve Information Extraction}},
      booktitle = { Proceedings of the 20th National Conference on Artificial Intelligence (AAAI 2005)},
      year = {2005}
    }
    

  • Janyce Wiebe and Ellen Riloff. 2005. Creating Subjective and Objective Sentence Classifiers from Unannotated Texts. In Proceedings of the 6th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing-05), Invited Paper. [link to paper]

    @inproceedings{wiebe2005creating,
      author = {Wiebe, Janyce and Riloff, Ellen},
      title = {{Creating Subjective and Objective Sentence Classifiers from Unannotated Texts}},
      booktitle = {Proceedings of the 6th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing-05), Invited Paper},
      year = {2005}
    }
    

  • Theresa Wilson, Paul Hoffmann, Swapna Somasundaran, Jason Kessler, Janyce Wiebe, Yejin Choi, Claire Cardie, Ellen Riloff, and Siddarth Patwardhan. 2005. OpinionFinder: A System for Subjectivity Analysis. In Proceedings of EMNLP 2005 Interactive Demonstrations. [link to paper]

    @inproceedings{wilson2005opinionfinder,
      author = {Wilson, Theresa and Hoffmann, Paul and Somasundaran, Swapna and Kessler, Jason and Wiebe, Janyce and Choi, Yejin and Cardie, Claire and Riloff, Ellen and Patwardhan, Siddarth},
      title = {{OpinionFinder: A System for Subjectivity Analysis}},
      booktitle = {Proceedings of EMNLP 2005 Interactive Demonstrations},
      year = {2005}
    }
    

2004

  • David Bean and Ellen Riloff. 2004. Unsupervised Learning of Contextual Role Knowledge for Coreference Resolution. In Proceedings of the Human Language Technology Conference / North American Chapter of the Association for Computational Linguistics Annual Meeting (NAACL 2004). [link to paper]

    @inproceedings{bean2004unsupervised,
      author = {Bean, David and Riloff, Ellen},
      title = {{Unsupervised Learning of Contextual Role Knowledge for Coreference Resolution}},
      booktitle = { Proceedings of the Human Language Technology Conference / North American Chapter of the Association for Computational Linguistics Annual Meeting (NAACL 2004)},
      year = {2004}
    }
    

  • Ellen Riloff and William Phillips. 2004. An Introduction to the Sundance and AutoSlog Systems. In University of Utah School of Computing Technical Report #UUCS-04-015. [link to paper]

    @inproceedings{riloff2004introduction,
      author = {Riloff, Ellen and Phillips, William},
      title = {{An Introduction to the Sundance and AutoSlog Systems}},
      booktitle = { University of Utah School of Computing Technical Report #UUCS-04-015},
      year = {2004}
    }
    

2003

  • Rosie Jones, Rayid Ghani, Tom Mitchell, and Ellen Riloff. 2003. Active Learning for Information Extraction with Multiple View Feature Sets. In ECML-03 Workshop on Adaptive Text Extraction and Mining . [link to paper]

    @inproceedings{jones2003active,
      author = {Jones, Rosie and Ghani, Rayid and Mitchell, Tom and Riloff, Ellen},
      title = {{Active Learning for Information Extraction with Multiple View Feature Sets}},
      booktitle = { ECML-03 Workshop on Adaptive Text Extraction and Mining },
      year = {2003}
    }
    

  • Ellen Riloff and Janyce Wiebe. 2003. Learning Extraction Patterns for Subjective Expressions. In Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing (EMNLP-03). [link to paper]

    @inproceedings{riloff2003learning,
      author = {Riloff, Ellen and Wiebe, Janyce},
      title = {{Learning Extraction Patterns for Subjective Expressions}},
      booktitle = {Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing (EMNLP-03)},
      year = {2003}
    }
    

  • Ellen Riloff, Janyce Wiebe, and Theresa Wilson. 2003. Learning Subjective Nouns Using Extraction Pattern Bootstrapping. In Proceedings of the Seventh Conference on Natural Language Learning (CoNLL-2003). [link to paper]

    @inproceedings{riloff2003learninga,
      author = {Riloff, Ellen and Wiebe, Janyce and Wilson, Theresa},
      title = {{Learning Subjective Nouns Using Extraction Pattern Bootstrapping}},
      booktitle = {Proceedings of the Seventh Conference on Natural Language Learning (CoNLL-2003)},
      year = {2003}
    }
    

  • Janyce Wiebe, Eric Breck, Chris Buckley, Claire Cardie, Paul Davis, Bruce Fraser, Diane Litman, David Pierce, Ellen Riloff, Theresa Wilson, David Day, and Mark Maybury. 2003. Recognizing and Organizing Opinions Expressed in the World Press. In AAAI Spring Symposium on New Directions in Question Answering . [link to paper]

    @inproceedings{wiebe2003recognizing,
      author = {Wiebe, Janyce and Breck, Eric and Buckley, Chris and Cardie, Claire and Davis, Paul and Fraser, Bruce and Litman, Diane and Pierce, David and Riloff, Ellen and Wilson, Theresa and Day, David and Maybury, Mark},
      title = {{Recognizing and Organizing Opinions Expressed in the World Press}},
      booktitle = { AAAI Spring Symposium on New Directions in Question Answering },
      year = {2003}
    }
    

2002

  • William Phillips and Ellen Riloff. 2002. Exploiting Strong Syntactic Heuristics and Co-Training to Learn Semantic Lexicons. In Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP-02). [link to paper]

    @inproceedings{phillips2002exploiting,
      author = {Phillips, William and Riloff, Ellen},
      title = {{Exploiting Strong Syntactic Heuristics and Co-Training to Learn Semantic Lexicons}},
      booktitle = {Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP-02)},
      year = {2002}
    }
    

  • Ellen Riloff, Charles Schafer, and David Yarowsky. 2002. Inducing Information Extraction Systems for New Languages via Cross-Language Projection. In Proceedings of the 19th International Conference on Computational Linguistics (COLING-02). [link to paper]

    @inproceedings{riloff2002inducing,
      author = {Riloff, Ellen and Schafer, Charles and Yarowsky, David},
      title = {{Inducing Information Extraction Systems for New Languages via Cross-Language Projection}},
      booktitle = { Proceedings of the 19th International Conference on Computational Linguistics (COLING-02)},
      year = {2002}
    }
    

  • Michael Thelen and Ellen Riloff. 2002. A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts. In Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP-02). [link to paper]

    @inproceedings{thelen2002bootstrapping,
      author = {Thelen, Michael and Riloff, Ellen},
      title = {{A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts}},
      booktitle = {Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP-02)},
      year = {2002}
    }
    

  • Janyce Wiebe, Eric Breck, Chris Buckley, Claire Cardie, Paul Davis, Bruce Fraser, Diane Litman, David Pierce, Ellen Riloff, and Theresa Wilson. 2002. NRRC Summer Workshop on Multiple-Perspective Question Answering: Final Report . In [link to paper]

    @inproceedings{wiebe2002nrrc-summer,
      author = {Wiebe, Janyce and Breck, Eric and Buckley, Chris and Cardie, Claire and Davis, Paul and Fraser, Bruce and Litman, Diane and Pierce, David and Riloff, Ellen and Wilson, Theresa},
      title = {{NRRC Summer Workshop on Multiple-Perspective Question Answering: Final Report }},
      year = {2002}
    }
    

2001

  • Eric Breck, Marc Light, Gideon Mann, Ellen Riloff, Brianne Brown, Pranav Anand, Mats Rooth, and Michael Thelen. 2001. Looking Under the Hood: Tools for Diagnosing Your Question Answering Engine. In ACL-2001 Workshop on Open-Domain Question Answering. [link to paper]

    @inproceedings{breck2001looking,
      author = {Breck, Eric and Light, Marc and Mann, Gideon and Riloff, Ellen and Brown, Brianne and Anand, Pranav and Rooth, Mats and Thelen, Michael},
      title = {{Looking Under the Hood: Tools for Diagnosing Your Question Answering Engine}},
      booktitle = {  ACL-2001 Workshop on Open-Domain Question Answering},
      year = {2001}
    }
    

  • Marc Light, Gideon Mann, Ellen Riloff, and Eric Breck. 2001. Analyses for Elucidating Current Question Answering Technology. Journal of Natural Language Engineering , 7. [link to paper]

    @article{light2001analyses,
      author = {Light, Marc and Mann, Gideon and Riloff, Ellen and Breck, Eric},
      title = {{Analyses for Elucidating Current Question Answering Technology}},
      journal = { Journal of Natural Language Engineering },
      year = {2001},
      volume = {7}
    }
    

2000

  • David Price, Ellen Riloff, Joseph Zachary, and Brandon Harvey. 2000. NaturalJava: A Natural Language Interface for Programming in Java. In Proceedings of the 2000 International Conference on Intelligent User Interfaces. [link to paper]

    @inproceedings{price2000naturaljava,
      author = {Price, David and Riloff, Ellen and Zachary, Joseph and Harvey, Brandon},
      title = {{NaturalJava: A Natural Language Interface for Programming in Java}},
      booktitle = {Proceedings of the 2000 International Conference on  Intelligent User Interfaces},
      year = {2000}
    }
    

  • Ellen Riloff and Michael Thelen. 2000. A Rule-based Question Answering System for Reading Comprehension Tests. In ANLP/NAACL-2000 Workshop on Reading Comprehension Tests as Evaluation for Computer-Based Language Understanding Systems. [link to paper]

    @inproceedings{riloff2000rule-based,
      author = {Riloff, Ellen and Thelen, Michael},
      title = {{A Rule-based Question Answering System for Reading Comprehension Tests}},
      booktitle = { ANLP/NAACL-2000 Workshop on Reading Comprehension Tests as Evaluation for Computer-Based Language Understanding Systems},
      year = {2000}
    }
    

1999

  • David Bean and Ellen Riloff. 1999. Corpus-Based Identification of Non-Anaphoric Noun Phrases. In Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics (ACL 1999). [link to paper]

    @inproceedings{bean1999corpus-based,
      author = {Bean, David and Riloff, Ellen},
      title = {{Corpus-Based Identification of Non-Anaphoric Noun Phrases}},
      booktitle = { Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics (ACL 1999)},
      year = {1999}
    }
    

  • Rosie Jones, Andrew McCallum, Kamal Nigam, and Ellen Riloff. 1999. Bootstrapping for Text Learning Tasks. In IJCAI-99 Workshop on Text Mining: Foundations, Techniques, and Applications. [link to paper]

    @inproceedings{jones1999bootstrapping,
      author = {Jones, Rosie and McCallum, Andrew and Nigam, Kamal and Riloff, Ellen},
      title = {{Bootstrapping for Text Learning Tasks}},
      booktitle = { IJCAI-99 Workshop on Text Mining: Foundations, Techniques, and Applications},
      year = {1999}
    }
    

  • Ellen Riloff. 1999. Computational Models of Reading and Understanding. In Ashwin Ram and Kenneth Moorman, editors. The MIT Press, edition. [link to paper]

    @inbook{riloff1999computational,
      author = {Riloff, Ellen},
      editor = {Ram, Ashwin and Moorman, Kenneth},
      title = {Computational Models of Reading and Understanding},
      chapter = {{Information Extraction as a Stepping Stone toward Story Understanding}},
      publisher = {The MIT Press},
      year = {1999}
    }
    

  • Ellen Riloff and Jessica Shepherd. 1999. A Corpus-Based Bootstrapping Algorithm for Semi-Automated Semantic Lexicon Construction. Journal of Natural Language Engineering , 5. [link to paper]

    @article{riloff1999corpus-based,
      author = {Riloff, Ellen and Shepherd, Jessica},
      title = {{A Corpus-Based Bootstrapping Algorithm for Semi-Automated Semantic Lexicon Construction}},
      journal = { Journal of Natural Language Engineering },
      year = {1999},
      volume = {5}
    }
    

  • Ellen Riloff and Rosie Jones. 1999. Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping. In Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99). [link to paper]
    AAAI Classic Paper Award, Honorable Mention, 2017

    @inproceedings{riloff1999learning,
      author = {Riloff, Ellen and Jones, Rosie},
      title = {{Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping}},
      booktitle = {Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99)},
      year = {1999}
    }
    

  • Ellen Riloff and Jeffrey Lorenzen. 1999. Natural Language Information Retrieval. In Tomek Strzalkowski, editor. Kluwer Academic Publishers, edition. [link to paper]

    @inbook{riloff1999natural,
      author = {Riloff, Ellen and Lorenzen, Jeffrey},
      editor = {Strzalkowski, Tomek},
      title = {Natural Language Information Retrieval},
      chapter = {{Extraction-based Text Categorization: Generating Domain-specific Role Relationships Automatically}},
      publisher = {Kluwer Academic Publishers},
      year = {1999}
    }
    

1998

  • Johannes Furnkranz, Tom Mitchell, and Ellen Riloff. 1998. A Case Study in Using Linguistic Phrases for Text Categorization on the WWW. In AAAI/ICML Workshop on Learning for Text Categorization. [link to paper]

    @inproceedings{furnkranz1998case-study,
      author = {Furnkranz, Johannes and Mitchell, Tom and Riloff, Ellen},
      title = {{A Case Study in Using Linguistic Phrases for Text Categorization on the WWW}},
      booktitle = {AAAI/ICML Workshop on Learning for Text Categorization},
      year = {1998}
    }
    

  • Ellen Riloff and Mark Schmelzenbach. 1998. An Empirical Approach to Conceptual Case Frame Acquisition. In Proceedings of the Sixth Workshop on Very Large Corpora (WVLC-98). [link to paper]

    @inproceedings{riloff1998empirical,
      author = {Riloff, Ellen and Schmelzenbach, Mark},
      title = {{An Empirical Approach to Conceptual Case Frame Acquisition}},
      booktitle = { Proceedings of the Sixth Workshop on Very Large Corpora (WVLC-98)},
      year = {1998}
    }
    

1997

  • Ellen Riloff and Jessica Shepherd. 1997. A Corpus-Based Approach for Building Semantic Lexicons. In Proceedings of the Second Conference on Empirical Methods in Natural Language Processing (EMNLP-2). [link to paper]

    @inproceedings{riloff1997corpus-based,
      author = {Riloff, Ellen and Shepherd, Jessica},
      title = {{A Corpus-Based Approach for Building Semantic Lexicons}},
      booktitle = {Proceedings of the Second Conference on Empirical  Methods in Natural Language Processing (EMNLP-2)},
      year = {1997}
    }
    

1996

  • Ellen Riloff. 1996. Automatically Generating Extraction Patterns from Untagged Text. In Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96). [link to paper]

    @inproceedings{riloff1996automatically,
      author = {Riloff, Ellen},
      title = {{Automatically Generating Extraction Patterns from Untagged Text}},
      booktitle = {Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96)},
      year = {1996}
    }
    

  • Ellen Riloff. 1996. Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing. In Ellen Wermter Stefan Riloff and Gabriele Scheler, editors. Springer-Verlag, Berlin, edition. [link to paper]

    @inbook{riloff1996connectionist,
      author = {Riloff, Ellen},
      editor = {Wermter, Stefan Riloff, Ellen and Scheler, Gabriele},
      title = {Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing},
      chapter = {{Using Learned Extraction Patterns for Text Classification}},
      publisher = {Springer-Verlag, Berlin},
      year = {1996}
    }
    

  • Ellen Riloff. 1996. An Empirical Study of Automated Dictionary Construction for Information Extraction in Three Domains. AI Journal, 85. [link to paper]

    @article{riloff1996empirical,
      author = {Riloff, Ellen},
      title = {{An Empirical Study of Automated Dictionary Construction for Information Extraction in Three Domains}},
      journal = {AI Journal},
      year = {1996},
      volume = {85}
    }
    

1995

  • Ellen Riloff. 1995. Little Words Can Make a Big Difference for Text Classification. In Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval . [link to paper]

    @inproceedings{riloff1995little,
      author = {Riloff, Ellen},
      title = {{Little Words Can Make a Big Difference for Text Classification}},
      booktitle = { Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval  },
      year = {1995}
    }
    

1994

  • Ellen Riloff and Wendy Lehnert. 1994. Information Extraction as a Basis for High-Precision Text Classification. ACM Transactions on Information Systems , 12. [link to paper]

    @article{riloff1994information,
      author = {Riloff, Ellen and Lehnert, Wendy},
      title = {{Information Extraction as a Basis for High-Precision Text Classification}},
      journal = { ACM Transactions on Information Systems  },
      year = {1994},
      volume = {12}
    }
    

  • Ellen Riloff. 1994. Information Extraction as a Basis for Portable Text Classification Systems. PhD thesis, Ph.D. Dissertation, Computer Science Department, University of Massachusetts Amherst. [link to paper]

    @phdthesis{riloff1994informationa,
      author = {Riloff, Ellen},
      title = {{Information Extraction as a Basis for Portable Text Classification Systems}},
      school = {Ph.D. Dissertation, Computer Science Department, University of Massachusetts Amherst},
      year = {1994}
    }
    

1993

  • Ellen Riloff. 1993. Automatically Constructing a Dictionary for Information Extraction Tasks. In Proceedings of the Eleventh National Conference on Artificial Intelligence (AAAI-93). [link to paper]
    AAAI Classic Paper Award, Honorable Mention, 2012

    @inproceedings{riloff1993automatically,
      author = {Riloff, Ellen},
      title = {{Automatically Constructing a Dictionary for Information Extraction Tasks}},
      booktitle = {Proceedings of the Eleventh National Conference on Artificial Intelligence (AAAI-93)},
      year = {1993}
    }