Papers Archive

Proceedings of Refereed Conferences

Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay, “CapWAP: Captioning with a Purpose,” EMNLP, 2020.

Tianxiao Shen, Victor Quach, Regina Barzilay, Tommi Jaakkola, "Blank Language Models," EMNLP, 2020.

Tianxiao Shen, Jonas Mueller, Regina Barzilay, Tommi Jaakkola, "Educating Text Autoencoders: Latent Representation Guidance via Denoising," ICML 2020.

Jin, Wengong, Regina Barzilay, and Tommi Jaakkola, “Multi-Objective Molecule Generation using Interpretable Substructures,” Proceedings of the 37th International Conference on Machine Learning (ICML), 2020.

Jin, Wengong, Regina Barzilay, and Tommi Jaakkola, “Hierarchical Generation of Molecular Graphs using Structural Motifs,” Proceedings of the 37th International Conference on Machine Learning (ICML), 2020.

Yang, Kevin, Wengong Jin, Kyle Swanson, Regina Barzilay, and Tommi Jaakkola, “Improving Molecular Design by Stochastic Iterative Target Augmentation,” Proceedings of the 37th International Conference on Machine Learning (ICML), 2020.

Bao, Yujia, Menghua Wu, Shiyu Chang, and Regina Barzilay, “Few-shot Text Classification with Distributional Signatures,” Proceedings of International Conference on Learning Representations (ICLR), 2020.

Tuan, Luu Anh, Darsh J. Shah, and Regina Barzilay, “Capturing Greater Context for Question Generation,” Thirty-Fourth Conference of the Association for the Advancement of Artificial Intelligence (AAAI), 2020.

Shah, Darsh J., Tal Schuster, and Regina Barzilay, “Automatic Fact Guided Sentence Modification,” Thirty-Fourth Conference of the Association for the Advancement of Artificial Intelligence (AAAI), 2020.

Fisch, Adam, Jiang Guo, and Regina Barzilay, “Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers,“ Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2019.

Schuster, Tal, Darsh J. Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, and Regina Barzilay, “Towards Debiasing Fact Verification Models,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2019.

Ingraham, John, Vikas K. Garg, Regina Barzilay, and Tommi Jaakkola, “Generative Models for Graph-Based Protein Design,” ICLR Workshop on Deep Generative Models for Highly Structured Data, 2019.

Jin, Wengong, Kevin Yang, Regina Barzilay, and Tommi Jaakkola, “Learning Multimodal Graph-to-Graph Translation for Molecule Optimization,” Proceedings of International Conference on Learning Representations (ICLR), 2019.

Luo, Jiaming, Yuan Cao, and Regina Barzilay, “Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B,” Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019.

Schuster, Tal, Ori Ram, Regina Barzilay, and Amir Globerson, “Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-Shot Dependency Parsing,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.

Qian, Yujie, Enrico Santus, Zhijing Jin, Jiang Guo, and Regina Barzilay, “GraphIE: A Graph-Based Framework for Information Extraction,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.

Lehman, Eric, Jay DeYoung, Regina Barzilay and Byron C. Wallace, “Inferring Which Medical Treatments Work from Reports of Clinical Trials,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.

Yan, Susu, Enrico Santus, Adam Yala, Leonard Wee, Jason Kim, Santiago A. Lozano-Calderon, Joseph H. Schwab, Regina Barzilay, Kevin S. Hughes, and Karen De Amorim Bernstein, “Using Deep Learning Algorithm to Extract Tumour Information from Pathology and Surgical Notes of Chondrosarcoma Patients,” Proceedings of the International Conference on the Use of Computers in Radiation Therapy and the International Conference on Monte Carlo Techniques for Medical Applications (ICCR-MCMA), 2019.

Chen, Benson, Regina Barzilay, and Tommi Jaakkola, “Path-Augmented Graph Transformer Network,” ICML Workshop on Learning and Reasoning with Graph-Structured Representations, 2019.

Bao, Yujia, Shiyu Chang, Mo Yu, and Regina Barzilay, “Deriving Machine Attention from Human Rationales,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2018.

Guo, Jiang, Darsh Shah, and Regina Barzilay, “Multi-Source Domain Adaptation with Mixture of Experts,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2018.

Jin, Wengong, Regina Barzilay, and Tommi Jaakkola, “Junction Tree Variational Autoencoder for Molecular Graph Generation,” Proceedings of International Conference on Machine Learning (ICML), 2018.

Shen, Tianxiao, Tao Lei, Regina Barzilay, and Tommi Jaakkola, “Style Transfer from Non-Parallel Text by Cross-Alignment,” Proceedings of Neural Information Processing Systems (NIPS), 2017.

Jin, Wengong, Connor W. Coley, Regina Barzilay, and Tommi Jaakkola, “Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network,” Proceedings of Neural Information Processing Systems (NIPS), 2017.

Lei, Tao, Wengong Jin, Regina Barzilay, and Tommi Jaakkola, “Deriving Neural Architectures from Sequence and Graph Kernels,” Proceedings of International Conference on Machine Learning (ICML), 2017.

Lei, Tao, Regina Barzilay, and Tommi Jaakkola, “Rationalizing Neural Predictions,” Proceedings of Empirical Methods on Natural Language Processing (EMNLP), 2016.

Narasimhan, Karthik, Adam Yala, and Regina Barzilay, “Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning,” Proceedings of Empirical Methods on Natural Language Processing (EMNLP), 2016. (Best Paper Award)

Locascio, Nicholas, Karthik Narasimhan, Eduardo De Leon, Nate Kushman, and Regina Barzilay, “Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge,” Proceedings of Empirical Methods on Natural Language Processing (EMNLP), 2016.

Gu, Youyang, Tao Lei, Regina Barzilay, and Tommi Jaakkola, “Learning to Refine Text Based Recommendations,” Proceedings of Empirical Methods on Natural Language Processing (EMNLP), 2016.

Zhang, Yuan, David Gaddy, Regina Barzilay, and Tommi Jaakkola, “Ten Pairs to Tag – Multilingual Transfer for POS Tagging with Few Translation Pairs,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016.

Lei, Tao, Hrishikesh Joshi, Regina Barzilay, Tommi Jaakkola, Kateryna Tymoshenko, Alessandro Moschitti, and Lluis Marquez, “Semi-Supervised Question Retrieval with Gated Convolutions,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016.

Shen, Tianxiao, Tao Lei, and Regina Barzilay, “Making Dependency Labeling Simple, Fast, and Accurate,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016.

Narasimhan, Karthik, Tejas Kulkarni, and Regina Barzilay, “Language Understanding for Text-based Games Using Deep Reinforcement Learning,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2015.

Lei, Tao, Regina Barzilay, and Tommi Jaakkola, “Molding CNNs for Text: Non-linear, Non-consecutive Convolutions,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2015.

Zhang, Yuan, and Regina Barzilay, “Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2015.

Lei, Tao, Yuan Zhang, Lluis Marquez, Alessandro Moschitti, and Regina Barzilay, “High-Order Low-Rank Tensors for Semantic Role Labeling,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2015.

Zhang, Yuan, Chengtao Li, Regina Barzilay, and Kareem Darwish, “Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2015.

Narasimhan, Karthik, and Regina Barzilay, “Machine Comprehension with Discourse Relations,” Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL), 2015.

Zhang, Yuan, Tao Lei, Regina Barzilay, and Tommi Jaakkola, “Greed is Good if Randomized: New Inference for Dependency Parsing,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2014.

Narasimhan, Karthik, Damianos Karakos, Rich Schwartz, Stavros Tsakalidis, and Regina Barzilay, “Morphological Segmentation for Keyword Spotting,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2014.

Zhang, Yuan, Tao Lei, Regina Barzilay, Tommi Jaakkola and Amir Globerson, “Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees,” Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), 11 pages, 2014.

Lei, Tao, Yu Xin, Yuan Zhang, Regina Barzilay and Tommi Jaakkola, “Low-Rank Tensors for Scoring Dependency Structures,” Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), 11 pages, 2014.

Kushman, Nate, Yoav Artzi, Luke Zettlemoyer, and Regina Barzilay, “Learning to Automatically Solve Algebra Word Problems,” Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), 11 pages, 2014.

Zhang, Yuan, Regina Barzilay and Amir Globerson, “Transfer Learning for Constituency-Based Grammars,” Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), 11 pages, 2013.

Lei, Tao, Fan Long, Regina Barzilay and Martin Rinard, “From Natural Language Specifications to Program Input Parsers,” Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), 10 pages, 2013.

Kushman, Nate and Regina Barzilay, “Using Semantic Unification to Generate Regular Expressions from Natural Language,” Proceedings of the Human Language Technology Conference (HLT-NAACL), 11 pages, 2013.

Zhang, Yuan, Roi Reichart, Regina Barzilay and Amir Globerson, “Learning to Map Into a Universal POS Tagset,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 11 pages, 2012.

Reichart, Roi and Regina Barzilay, “Multi-Event Extraction Guided by Global Constraints,” Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL:HLT), Montreal, Canada, 10 pages, 2012.

Stallard, David, Jacob Devlin, Michael Kayser, Yoong Keok Lee and Regina Barzilay, “Unsupervised Morphology Rivals Supervised Morphology for Arabic MT,” Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL) (Volume 2: Short Papers), Jeju, Republic of Korea, 6 pages, 2012.

Branavan, S. R. K., Nate Kushman, Tao Lei, and Regina Barzilay, “Learning High-Level Planning from Text,” Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL), Jeju, Republic of Korea, 10 pages, 2012.

Naseem, Tahira, Regina Barzilay, and Amir Globerson, “Selective Sharing for Multilingual Dependency Parsing,” Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL), Jeju, Republic of Korea, 9 pages, 2012.

Naseem, Tahira and Regina Barzilay, “Using Semantic Cues to Learn Syntax,” Proceedings of the 25th Conference on Artificial Intelligence (AAAI), San Francisco, California, 2011.

Branavan, S. R. K., David Silver, and Regina Barzilay, “Non-Linear Monte-Carlo Search in Civilization II,” Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, 7 pages, 2011.

Lee, Yoong Keok, Aria Haghighi, and Regina Barzilay, “Modeling Syntactic Context Improves Morphological Segmentation,” Proceedings of the 15th Conference on Computational Natural Language Learning (CoNLL), Portland, Oregon, 2011.

Sauper, Christina, Aria Haghighi, and Regina Barzilay, “Content Models with Attitude,” Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL), Portland, Oregon, 2011.

Chen, Harr, Edward Benson, Tahira Naseem, and Regina Barzilay, “In-domain Relation Discovery with Meta-constraints via Posterior Regularization,” Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL), Portland, Oregon, 11 pages, 2011.

Branavan, S. R. K., David Silver, and Regina Barzilay, “Learning to Win by Reading Manuals in a Monte-Carlo Framework,” Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL), Portland, Oregon, 10 pages, 2011.

Benson, Edward, Aria Haghighi, and Regina Barzilay, “Event Discovery in Social Media Feeds,” Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL), Portland, Oregon, 10 pages, 2011.

Polifroni, Joseph, Stephanie Seneff, S. R. K. Branavan, Chao Wang, and Regina Barzilay. “Good Grief, I Can Speak It! Preliminary Experiments in Audio Restaurant Reviews,” Proceedings of the IEEE Workshop on Spoken Language Technology (SLT), (Best Paper Award), Berkeley, California, 2010.

Lojun, Sharon L., Christina J. Sauper, Mitchell Medow, William J. Long, Roger G. Mark, and Regina Barzilay, “Investigating Resuscitation Code Assignment in the Intensive Care Unit using Structured and Unstructured Data,” Proceedings of the AMIA 2010 Symposium, Washington, D.C., pp. 467 – 471, 2010.

Sauper, Christina, Aria Haghighi, and Regina Barzilay, “Incorporating Content Structure into Text Analysis Applications,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Cambridge, Massachusetts, 11 pages, 2010.

Naseem, Tahira, Harr Chen, Regina Barzilay, and Mark Johnson, “Using Universal Linguistic Knowledge to Guide Grammar Induction,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Cambridge, Massachusetts, 11 pages, 2010.

Lee, Yoong Keok, Aria Haghighi, and Regina Barzilay, “Simple Type-Level Unsupervised POS Tagging,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Cambridge, Massachusetts, 9 pages, 2010.

Snyder, Benjamin, Regina Barzilay, and Kevin Knight, “A Statistical Model for Lost Language Decipherment,” Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), Uppsala, Sweden, 10 pages, 2010.

Branavan, S. R. K., Luke Zettlemoyer, and Regina Barzilay, “Reading Between the Lines: Learning to Map High-level Instructions to Commands,” Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), Uppsala, Sweden, 10 pages, 2010.

Snyder, Benjamin, and Regina Barzilay, “Climbing the Tower of Babel: Unsupervised Multilingual Learning,” Proceedings of the 27th International Conference on Machine Learning (ICML), Haifa, Israel, 8 pages, 2010.

Branavan, S. R. K., Harr Chen, Luke Zettlemoyer, and Regina Barzilay, “Reinforcement Learning for Mapping Instructions to Actions,” Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL), (Best Paper Award), Singapore, 9 pages, 2009.

Snyder, Benjamin, Tahira Naseem, and Regina Barzilay, “Unsupervised Multilingual Grammar Induction,” Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL), Singapore, 9 pages, 2009.

Sauper, Christina and Regina Barzilay, “Automatically Generating Wikipedia Articles: A Structure-Aware Approach,” Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL), Singapore, 9 pages, 2009.

Snyder, Benjamin, Tahira Naseem, Jacob Eisenstein, and Regina Barzilay, “Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: A Bayesian Non-Parametric Approach,” Proceedings of the Conference of the North American Chapter of the Association of Computational Linguistics (NAACL), Boulder, Colorado, pp. 371-180, 2009.

Chen, Harr, S. R. K. Branavan, Regina Barzilay, and David R. Karger, “Global Models of Document Structure Using Latent Permutations,” Proceedings of the Conference of the North American Chapter of the Association of Computational Linguistics (NAACL), Boulder, Colorado, 9 pages, 2009.

Kushman, Nate, Micah Brodsky, S. R. K. Branavan, Dina Katabi, Regina Barzilay, and Martin Rinard, “WikiDo,” Proceedings of the 8th ACM Workshop on Hot Topics in Networks (HotNets-VIII), New York City, New York, 6 pages, 2009.

Snyder, Benjamin, Tahira Naseem, Jacob Eisenstein, and Regina Barzilay, “Unsupervised Multilingual Learning for POS Tagging,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Honolulu, Hawaii, pp. 1041-1050, 2008.

Eisenstein, Jacob and Regina Barzilay, “Bayesian Unsupervised Topic Segmentation,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Honolulu, Hawaii, pp. 334-343, 2008.

Eisenstein, Jacob, Regina Barzilay, and Randall Davis, “Discourse Topic and Gestural Form,” Proceedings of the 23rd Conference of the Association for the Advancement of Artificial Intelligence (AAAI), Chicago, Illinois, pp. 836-841, 2008.

Snyder, Benjamin and Regina Barzilay, “Cross-lingual Propagation for Morphological Analysis,” Proceedings of the 23rd Conference of the Association for the Advancement of Artificial Intelligence (AAAI), Chicago, Illinois, pp. 848-854, 2008.

Branavan, S. R. K., Harr Chen, Jacob Eisenstein, and Regina Barzilay, “Learning Document Level Semantic Properties from Free-text Annotations,” Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL), Columbus, Ohio, pp. 263-271, 2008.

Eisenstein, Jacob, Regina Barzilay, and Randall Davis, “Gestural Cohesion for Topic Segmentation,” Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL), Columbus, Ohio, pp. 852-860, 2008.

Snyder, Benjamin and Regina Barzilay, “Unsupervised Multilingual Learning for Morphological Segmentation,” Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL), Columbus, Ohio, pp. 737-745, 2008.
Chen, Erdong, Benjamin Snyder, and Regina Barzilay, “Online Text Structuring with Hierarchical Ranking,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Prague, Czech Republic, 9 pages, 2007.

Branavan, Pawan Deshpande, and Regina Barzilay, “Generating a Table-of-Contents: A Hierarchical Discriminative Approach,” Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL), Prague, Czech Republic, pp. 544-551, 2007.

Malioutov, Igor, Alex Park, Regina Barzilay, and James Glass, “Making Sense of Sound: Unsupervised Topic Segmentation over Acoustic Input,” Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL), Prague, Czech Republic, pp. 504-511, 2007.

Snyder, Benjamin and Regina Barzilay, “Multiple Aspect Ranking using the Good Grief Algorithm,” Proceedings of the Conference of the North American Chapter of the Association of Computational Linguistics (NAACL), Rochester, New York, 8 pages, 2007.

Deshpande, Pawan, Regina Barzilay, and David Karger, “Randomized Decoding for Selection-and-Ordering Problems,” Proceedings of the Conference of the North American Chapter of the Association of Computational Linguistics (NAACL), Rochester, New York, 8 pages, 2007.

Eisenstein, Jacob, Regina Barzilay, and Randall Davis, “Turning Lectures into Comic Books Using Linguistically Salient Gestures,” Proceedings of the 22nd Conference of the Association for the Advancement of Artificial Intelligence (AAAI), Vancouver, British Columbia, 6 pages, 2007.

Snyder, Benjamin and Regina Barzilay, “Database-Text Alignment via Structured Multilabel Classification,” Proceedings of the International Joint Conferences on Artificial Intelligence (IJCAI), Hyderabad, India, 6 pages, 2007. **

Glass, James, Timothy J. Hazen, Scott Cyphers, Igor Malioutov, David Huynh, and Regina Barzilay, “Recent Progress in the MIT Spoken Lecture Processing Project,” Proceedings of INTERSPEECH, Antwerp, Belgium, pp. 2553-2556, 2007.

Bramsen, Philip, Pawan Deshpande, Yoong Keok Lee, and Regina Barzilay, “Inducing Temporal Graphs,” Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP), Sydney, Australia, 10 pages, 2006.

Malioutov, Igor and Regina Barzilay, “Minimum Cut Model for Spoken Lecture Segmentation,” Proceedings of Joint Conference of the International Committee on Computational Linguistics and the Association for Computational Linguistics (COLING-ACL), Sydney, Australia, 7 pages, 2006.

Bramsen, Philip and Pawan Deshpande and Yoong Keok Lee and Regina Barzilay, “Finding Temporal Order in Discharge Summaries,” Proceedings of American Medical Information Association (AMIA 2005), Washington, DC, 5 pages, 2006. **

Kauchak, David and Regina Barzilay, “Paraphrasing for Automatic Evaluation,” Proceedings of Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics (HLT-NAACL), New York, NY, pp. 455-462, 2006.

Barzilay, Regina and Mirella Lapata, “Aggregation via Set Partitioning for Natural Language Generation,” Proceedings of Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics (HLT-NAACL), New York, NY, pp. 359-366, 2006.

Barzilay, Regina and Mirella Lapata, “Modeling Local Coherence: An Entity-Based Approach,” Proceedings of the 43rd Association for Computational Linguistics (ACL 2005), Ann Arbor, MI, pp. 141-148, 2005.

Lapata, Mirella and Regina Barzilay, “Automatic Evaluation of Text Coherence: Models and Representations,” Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2005), Edinburgh, Scotland, pp. 1085-1090, 2005.

Barzilay, Regina and Mirella Lapata, “Collective Content Selection for Concept-to-Text Generation,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2005), Vancouver, British Columbia, Canada, pp. 331-338, 2005.

Lacson, Ronilda and Regina Barzilay, “Automatic Processing of Spoken Dialogue in the Hemodialysis Domain,” Proceedings of American Medical Informatics Association (AMIA 2005), Washington, DC, 5 pages, 2005.

Barzilay, Regina and Lillian Lee, “Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization,” Proceedings of the Human Language Technology Conference (HLT-NAACL 2004), (Best Paper Award), Boston, MA, pp. 113-120, 2004.

Barzilay, Regina and Noemie Elhadad, “Sentence Alignment for Monolingual Comparable Corpora Alignment,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2003), Sapporo, Japan, pp. 25-32, 2003.

Barzilay, Regina and Lillian Lee, “Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment,” Proceedings of the Human Language Technology Conference (HLT-NAACL 2003), Edmonton, Canada, pp. 16-23, 2003.

McKeown, Kathleen R., Regina Barzilay, David Evans, Vasileios Hatzivassiloglou, Judith L. Klavans, Ani Nenkova, Carl Sable, Barry Schiffman, and Sergey Sigelman, “Tracking and Summarizing News on a Daily Basis with Columbia’s Newsblaster,” Proceedings of the Human Language Technology Conference (HLT 2002), San Diego, CA, pp. 280-285, 2002.

Barzilay, Regina and Lillian Lee, “Bootstrapping Lexical Choice via Multiple-Sequence Alignment,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2002), Philadelphia, PA, pp. 164-171, 2002.

Barzilay, Regina and Kathleen McKeown, “Extracting Paraphrases from a Parallel Corpus,” Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics (ACL-EACL 2001), Toulouse, France, pp. 50-57, 2001.

Barzilay, Regina, Noemie Elhadad, and Kathleen McKeown, “Sentence Ordering in Multidocument Summarization,” Proceedings of the Human Language Technology Conference (HLT 2001), San Diego, CA, pp. 318-324, 2001.

Hatzivassiloglou, Vasileios, Judith L. Klavans, Melissa L. Holcombe, Regina Barzilay, Min-Yen Kan, and Kathleen R. McKeown, “Simfinder: A Flexible Clustering Tool for Summarization,” Proceedings of the Workshop on Automatic Summarization, NAACL, Pittsburgh, PA, pp. 41-49, 2001.

Barzilay, Regina, Michael Collins, Julia Hirschberg, and Steve Whittaker, “The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts,” Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI 2000), Austin, Texas, pp. 679-684, 2000.

Barzilay, Regina, Kathleen McKeown, and Michael Elhadad, “Information Fusion in the Context of Multi-Document Summarization,” Proceedings of the 7th Annual Meeting of the Association for Computational Linguistics (ACL 1999), Maryland, pp. 550-557, 1999.

McKeown, Kathleen, Judith Klavans, Vasilis Hatzivassiloglou, Regina Barzilay, and Eleazar Eskin, “Towards Multidocument Summarization by Reformulation: Progress and Prospects,” Proceedings of the American Association for Artificial Intelligence (AAAI 1999), Orlando, FL, pp. 453-460, 1999.

Holland-Minkley, Amanda M., Regina Barzilay, and Robert Constable, “Verbalization of High-Level Formal Proofs,” Proceedings of the American Association for Artificial Intelligence (AAAI 1999), Orlando, FL, pp. 277-284, 1999.

Jing, Hongyan, Regina Barzilay, Kathleen McKeown, and Michael Elhadad, “Summarization Evaluation Methods: Experiments and Analysis,” Proceedings of the American Association for Artificial Intelligence (AAAI) Symposium on Intelligent Text Summarization, Stanford University, CA, pp. 60-68, 1998.

Barzilay, Regina, Daryl McCullough, Owen Rambow, Jonathan DeCristofaro, Tanya Korelsky, and Benoit Lavoie, “A New Approach to Expert System Explanations,” Proceedings of the Ninth International Workshop on Natural Language Generation (INLG 1998), Ontario, Canada, pp. 78-87, 1998.

Barzilay, Regina and Michael Elhadad, “Using Lexical Chains for Text Summarization,” Proceedings of the Intelligent Scalable Text Summarization Workshop (ISTS 1997), ACL, Madrid, Spain, pp. 10-17, 1997.

Papers in Refereed Journals

Hirschfeld, Lior and Swanson, Kyle and Yang, Kevin and Barzilay, Regina and Coley, Connor W., "Uncertainty Quantification Using Neural Networks for Molecular Property Prediction," JCIM, Volume 60, Number 8, 2020.

Luo, Jiaming, Frederik Hartmann, Enrico Santus, Yuan Cao, and Regina Barzilay, “Deciphering Undersegmented Ancient Scripts Using Phonetic Prior, Transactions of the Association for Computational Linguistics," TACL, 2020.

Santus, Enrico, Tal Schuster, Amir M. Tahmasebi, Clara Li, Adam Yala, Conor R. Lanahan, Peter Prinsen, Scott F. Thompson, Samuel Coons, Lance Mynderse, Regina Barzilay, and Kevin Hughes, “Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports,” JCO Clinical Cancer Informatics, 2020.

Wang, Xiaoxue, Yujie Qian, Hanyu Gao, Connor Coley, Yiming Mo, Regina Barzilay, and Klavs Jensen, “Towards Efficient Discovery of Green Synthesis Pathways with Monte Carlo Tree Search and Reinforcement Learning,” Journal of Chemical Science, 2020.

Stokes, Jonathan M., Kevin Yang, Kyle Swanson, Wengong Jin, Andres Cubillos-Ruiz, Nina M. Donghia, Craig R. MacNair, Shawn French, Lindsey A. Carfrae, Zohar Bloom-Ackerman, Victoria M. Tran, Anush Chiappino-Pepe, Ahmed H. Badran, Ian W. Andrews, Emma J. Chory, George M. Church, Eric D. Brown, Tommi S. Jaakkola, Regina Barzilay, and James J. Collins, “A Deep Learning Approach to Antibiotic Discovery," Cell, Volume 180, Issue 4, pp. 688-702, 2020.

Hu, Szu-Yeu, Enrico Santus, Alexander W. Forsyth, Devvrat Malhotra, Josh Haimson, Neal A. Chatterjee, Daniel B. Kramer, Regina Barzilay, James A. Tulsky, and Charlotta Lindvall, “Can Machine Learning Improve Patient Selection for Cardiac Resynchronization Therapy?,” PLos One, 2019 Oct 3; 14(10).

Tang, Rong, Francisco Acevedo, Conor Lanahan, Suzanne B. Coopey, Adam Yala, Regina Barzilay, Clara Li, Amy Colwell, Anthony J. Guidi, Curtis Cetrulo, Judy Garber, Barbara L. Smith, Michele A. Gadd, Michelle C. Specht, and Kevin S. Hughes, “Incidental Breast Carcinoma: Incidence, Management, and Outcomes in 4804 Bilateral Reduction Mammoplasties,” Breast Cancer Research and Treatment, 2019.

Acevedo, Francisco, Victor Diego Armengol, Zhengyi Deng, Rong Tang, Suzanne B. Coopey, Danielle Braun, Adam Yala, Regina Barzilay, Clara Li, Amy Colwell, Anthony Guidi, Curtis L. Cetrulo, Judy Garber, Barbara L. Smith, Tari King, and Kevin S. Hughes, “Pathologic Findings in Reduction Mammoplasty Specimens: A Surrogate for the Population Prevalence of Breast Cancer and High-Risk Lesions,” Breast Cancer Research and Treatment, 2019.

Yang, Kevin, Kyle Swanson, Wengong Jin, Connor Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi Jaakkola, Klavs Jensen, and Regina Barzilay, “Analyzing Learned Molecular Representations for Property Prediction,” Journal of Chemical Information and Modeling, 2019.

Yala, Adam, Constance Lehman, Tal Schuster, Tally Portnoi, Regina Barzilay, “A Deep Learning Mammography-Based Model for Improved Breast Cancer Risk Prediction,” Radiology, 2019.

Coley, Connor W., Wengong Jin, Luke Rogers, Timothy F. Jamison, Tommi S. Jaakkola, William H. Green, Regina Barzilay, and Klavs F. Jensen, “A Graph-Convolutional Neural Network Model for the Prediction of Chemical Reactivity,” Chemical Science 10, no. 2, 2019.

Yala, Adam, Tal Schuster, Randy Miles, Regina Barzilay, and Constance Lehman, “A Deep Learning Model to Triage Screening Mammograms: A Simulation Study,” Radiology, 2019.

Portnoi, Tally, Adam Yala, Tal Schuster, Regina Barzilay, Brian Dontchos, Leslie Lamb, and Constance Lehman, “Deep Learning Model to Assess Cancer Risk on the Basis of a Breast MR Image Alone,” American Journal of Roentgenology, 2019, 213: 227-233.

Bao, Yujia, Zhengyi Deng, Yan Wang, Heeyoon Kim, Victor Diego Armengol, Francisco Acevedo, Nofal Ouardaoui, Cathy Wang, Giovanni Parmigiani, “Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes,” JCO Clinical Cancer Informatics 2019, Sep; 3:1-9.

Deng, Zhengyi, Kanhua Yin, Yujia Bao, Victor Diego Armengol, Cathy Wang, Ankur Tiwari, Regina Barzilay, Giovanni Parmigiani, Danielle Braun, and Kevin S. Hughes, “Validation of a Semiautomated Natural Language Processing-Based Procedure for Meta-Analysis of Cancer Susceptiblility Gene Penetrance,” JCO Clinical Cancer Informatics 2019, Aug; 3:1-9.

Santus, Enrico, Clara Li, Adam Yala, Donald Peck, Rufina Soomro, Naveen Faridi, Isra Mamshad, Rong Tang, Conor R. Lanahan, Regina Barzilay, and Kevin Hughes, “Do Neural Information Extraction Algorithms Generalize Across Institutions?,” JCO Clinical Informatics 2019, July; 3:1-8.

Arbour, Kathryn Cecilia, Luu Anh Tuan, Hira Rizvi, Adam Yala, Matthew David Hellmann, and Regina Barzilay, Journal of Clinical Oncology 37, no. 15-suppl (May 20, 2019).

Acevedo, Francisco, Victor Diego Armengol, Zhengyi Deng, Rong Tang, Suzanne B. Coopey, Emanuele Mazzola, Conor Lanahan, Danielle Braun, Adam Yala, Regina Barzilay, Clara Li, Enrico Santus, Amy Colwell, Anthony Guidi, Curt Cetrulo, Judy Ellen Garber, Barbara L. Smith, Tari A. King, and Kevin S. Hughes, “Incidental Atypical Hyperplasia/LCIS in Mammoplasty Specimens and Subsequent Risk of Breast Cancer,” Journal of Clinical Oncology 37, no. 15-suppl (May 20, 2019).

Coopey, Suzanne, Kinyas Kartal, Clara Li, Adam Yala, Regina Barzilay, Heather Faulkner, Tari King, Francisco Acevedo, Judy Garber, Anthony Guidi, and Kevin Hughes, “Atypical Ductal Hyperplasia in Men with Gynecomastia: What is Their Breast Cancer Risk?,” Breast Cancer Research and Treatment, May 2019.

Lehman, Constance D, Adam Yala, Tal Schuster, Brian Dontchos, Manisha Bahl, Kyle Swanson, and Regina Barzilay, “Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation,” Radiology, 2019, Vol. 290, No 1, pp.52-58.

Narasimhan, Karthik, Regina Barzilay, and Tommi Jaakkola, “Grounding Language for Transfer in Deep Reinforcement Learning,” Journal of Artificial Intelligence Research (JAIR), 63 (2018), 849-874.

Janner, Michael, Karthik Narasimhan, and Regina Barzilay, “Representation Learning for Grounded Spatial Reasoning,” Transactions of the Association for Computational Linguistics (TACL), 2018.

Bahl, Manisha, Adam Yedidia, Lili Yu, Regina Barzilay, and Constance Lehman, “A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision of High-Risk Breast Lesions,” Radiology, 2018, Vol. 286, No. 3, pp. 811-818.

Luo, Jiaming, Karthik Narasimhan, and Regina Barzilay, “Unsupervised Learning of Morphological Forests,” Transactions of the Association for Computational Linguistics (TACL), 2017.

Zhang, Yuan, Regina Barzilay, and Tommi Jaakkola, “Aspect-augmented Adversarial Networks for Domain Adaptation,” Transactions of the Association for Computational Linguistics (TACL), 2017.

Coley, Connor W., Regina Barzilay, Tommi S. Jaakkola, William H. Green, and Klavs F. Jensen, “Prediction of Organic Reaction Outcomes Using Machine Learning,” ACS Central Science, 2017.

Coley, Connor W., Regina Barzilay, William H. Green, Tommi S. Jaakkola, and Klavs F. Jensen, “Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction,” Journal of Chemical Information and Modeling, 2017.

Yala, Adam, Regina Barzilay, Laura Salama, Molly Griffin, Grace Sollender, Aditya Bardia, Constance Lehman, Julliette M Buckley, Suzanne B Coopey, Fernanda Polubriaginof, Judy E Garber, Barbara L Smith, Michele A Gadd, Michelle C Specht, Thomas M Gudewicz, Anthony Guidi, Alphonse Taghian, Kevin S Hughes, "Using Machine Learning to Parse Breast Pathology Reports", Breast Cancer Research and Treatment, 2016.

Narasimhan, Karthik, Regina Barzilay, and Tommi. S. Jaakkola, “An Unsupervised Method for Uncovering Morphological Chains,” TACL, pp. 157-167, 2015.

Belinkov, Yonatan, Tao Lei, Regina Barzilay, and Amir Globerson, “Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment,” TACL: pp. 561-572, 2014.

Sauper, Christina, Aria Haghighi, and Regina Barzilay, “Automatic Aggregation by Joint Modeling of Aspects and Values,” Journal of Artificial Intelligence Research, 40 pps.

Branavan, S. R. K., David Silver, and Regina Barzilay, “Learning to Win by Reading Manuals in a Monte-Carlo Framework,” Journal of Artificial Intelligence Research, 2012.

Naseem, Tahira, Benjamin Snyder, Jacob Eisenstein, and Regina Barzilay, “Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches,” Journal of Artificial Intelligence Research, Volume 36, pp. 341-385, 2009.

Chen, Harr, S. R. K. Branavan, Regina Barzilay, and David Karger, “Content Modeling Using Latent Permutations," Journal of Artificial Intelligence Research, Volume 36, pp. 129-163, 2009.

Branavan, S. R. K., Harr Chen, Jacob Eisenstein, and Regina Barzilay, “Learning Document-Level Semantic Properties from Free-text Annotations,” Journal of Artificial Intelligence Research, Volume 34, pp. 569-603, 2009.

Eisenstein, Jacob, Regina Barzilay, and Randall Davis, “Modeling Gesture Salience as a Hidden Variable for Coreference Resolution and Keyframe Extraction,” Journal of Artificial Intelligence Research, Volume 31, pp. 353-398, 2008.

Barzilay, Regina and Mirella Lapata, “Modeling Local Coherence: An Entity-based Approach,” Computational Linguistics, Volume 34, No. 1: pp. 1-34, March 2008.

Lacson, Ronilda, Regina Barzilay, and William Long, “Automatic Analysis of Medical Dialogue in the Home Hemodialysis Domain: Structure Induction and Summarization,” Journal of Biomedical Informatics, pp. 541-555, 2006.

Barzilay, Regina and Kathleen McKeown, “Sentence Fusion for Multidocument News Summarization,” Computational Linguistics, Volume 31, pp. 297-328, September 2005.

Barzilay, Regina, Noemie Elhadad, and Kathleen R. McKeown, “Inferring Strategies for Sentence Ordering in Multidocument Summarization,” Journal of Artificial Intelligence Research (JAIR), Volume 17, pp. 35-55, 2002.

Papers Archive

2022

Jiang Guo, A. Santiago Ibanez-Lopez, Hanyu Gao, Victor Quach, Connor W. Coley, Klavs F. Jensen, Regina Barzilay: Automated Chemical Reaction Extraction from Scientific Literature. J. Chem. Inf. Model. 62(9): 2035-2045 (2022)

Adam Fisch, Tommi S. Jaakkola, Regina Barzilay: Calibrated Selective Classification. Trans. Mach. Learn. Res. 2022 (2022)

Octavian-Eugen Ganea, Xinyuan Huang, Charlotte Bunne, Yatao Bian, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause: Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking. ICLR 2022

Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi S. Jaakkola: Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design. ICLR 2022

Tian Xie, Xiang Fu, Octavian-Eugen Ganea, Regina Barzilay, Tommi S. Jaakkola: Crystal Diffusion Variational Autoencoder for Periodic Material Generation. ICLR 2022

Yujia Bao, Shiyu Chang, Regina Barzilay: Learning Stable Classifiers by Transferring Unstable Features. ICML 2022: 1483-1507

Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay: Conformal Prediction Sets with Limited False Positives. ICML 2022: 6514-6532

Wengong Jin, Regina Barzilay, Tommi S. Jaakkola: Antibody-Antigen Docking and Design via Hierarchical Structure Refinement. ICML 2022: 10217-10227

Hannes Stärk, Octavian Ganea, Lagnajit Pattanaik, Regina Barzilay, Tommi S. Jaakkola: EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction. ICML 2022: 20503-20521

Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi S. Jaakkola: Torsional Diffusion for Molecular Conformer Generation. NeurIPS 2022

Adam Yala, Peter G. Mikhael, Constance Lehman, Gigin Lin, Fredrik Strand, Yung-Liang Wan, Kevin Hughes, Siddharth Satuluru, Thomas Kim, Imon Banerjee, Judy Gichoya, Hari Trivedi, Regina Barzilay: Optimizing risk-based breast cancer screening policies with reinforcement learning. Nat Med 28, 136–143 (2022).

Adam Yala, Peter G. Mikhael, Fredrik Strand, Gigin Lin, Siddharth Satuluru, Thomas Kim, Imon Banerjee, Judy Gichoya, Hari Trivedi, Constance D. Lehman, Kevin Hughes, David J. Sheedy, Lisa M. Matthis, Bipin Karunakaran, Karen E. Hegarty, Silvia Sabino, Thiago B. Silva, Maria C. Evangelista, Renato F. Caron, Bruno Souza, Edmundo C. Mauad, Tal Patalon, Sharon Handelman-Gotlib, Michal Guindy, and Regina Barzilay: Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model. Journal of Clinical Oncology, DOI: 10.1200/JCO.21.01337.

2021

Bilodeau, Camille, Wengong Jin, Hongyun Jin, Jillian A. Emerson, Sukrit Mukhopadhyay, Thomas H. Kalantar, Tommi Jaakkola, Regina Barzilay, and Klavs F. Jensen, "Generating Molecules with Optimized Aqueous Solubility Using Iterative Graph Translation," Reaction Chemistry & Engineering, 2021, DOI: 10.1039/D1RE00315A.

Somnath, Vignesh Ram, Charlotte Bunne, Connor W. Coley, Andreas Krause, and Regina Barzilay, "Learning Graph Models for Retrosynthesis Prediction," NeurIPS, 2021.

Ganea, Octavian-Eugen, Lagnajit Pattanaik, Connor W. Coley, Regina Barzilay, Klavs F. Jensen, William H. Green, and Tommi S. Jaakkola, "GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles," NeurIPS, 2021.

Jin, Wengong, Jonathan M. Stokes, Richard T. Eastman, Zina Itkin, Alexey V. Zakharov, James J. Collins, Tommi S. Jaakkola, and Regina Barzilay, "Deep Learning Identifies Synergistic Drug Combinations for Treating COVID-19," Proceedings of the National Academy of Sciences of the United States of America (PNAS), September 28, 2021.

Schuster, Tal, Adam Fisch, Tommi Jaakkola, and Regina Barzilay, "Consistent Accelerated Inference via Confident Adaptive Transformers," accepted to 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP).

Yang, Karren D., Samuel Goldman, Wengong Jin, Alex X. Lu, Regina Barzilay, Tommi S. Jaakkola, and Caroline Uhler, "Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis, Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR), 2021.

Fisch, Adam, Tal Schuster, Tommi Jaakkola, and Regina Barzilay, "Few-shot Conformal Prediction with Auxiliary Tasks," Proceedings of the 38th International Conference on Machine Learning (ICML), 2021.

Bao, Yujia, Shiyu Chang, and Regina Barzilay, "Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers," Proceedings of the 38th International Conference on Machine Learning (ICML), 2021.

Shah, Darsh, Lili Yu, Tao Lei, and Regina Barzilay, "Nutri-bullets Hybrid: Consensual Multi-document Summarization," Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021.

Schuster, Tal, Adam Fisch, and Regina Barzilay, "Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence," Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021.

Fisch, Adam, Tal Schuster, Tommi Jaakkola, and Regina Barzilay, "Efficient Conformal Prediction via Cascaded Inference with Expanded Admission," Proceedings of the International Conference on Learning Representations (ICLR), 2021.

Shah, Darsh, Lili Yu, Tao Lei, and Regina Barzilay, "Nutri-bullets: Summarizing Health Studies by Composing Segments," Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021.

Guo, Jiang, A. Santiago Ibanez-Lopez, Hanyu Gao, Victor Quach, Connor W. Coley, Klavs F. Jensen, and Regina Barzilay, "Automated Chemical Reaction Extraction from Scientific Literature," Journal of Chemical Information and Modeling (JCIM), June 11, 2021.

Yala, Adam, Peter G. Mikhael, Fredrik Strand, Gigin Lin, Kevin Smith, Yung-Liang Wan, Leslie Lamb, Kevin Hughes, Constance Lehman, and Regina Barzilay, "Towards Robust Mammography-Based Models for Breast Cancer Risk," Science Translational Medicine, 2021.

Luo, Jiaming, Frederik Hartmann, Enrico Santus, Yuan Cao, and Regina Barzilay, "Deciphering Undersegmented Ancient Scripts Using Phonetic Prior," Transactions of the Association for Computational Linguistics," TACL, 2021.

2020

Jin, Wengong, Regina Barzilay, and Tommi Jaakkola, "Discovering Synergistic Drug Combinations for COVID with Biological Bottleneck Models," NeurIPS Workshop on Machine Learning for Molecules, 2020.

Fisch, Adam, Kenton Lee, MIng-Wei Chang, Jonathan H. Clark, and Regina Barzilay, "CapWAP: Captioning with a Purpose," Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2020.

Shen, Tianxiao, Victor Quach, Regina Barzilay, Tommi Jaakkola, "Blank Language Models," Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2020.

Shen, Tianxiao, Jonas Mueller, Regina Barzilay, Tommi Jaakkola, "Educating Text Autoencoders: Latent Representation Guidance via Denoising," Proceedings of the 37th International Conference on Machine Learning (ICML), 2020.

Jin, Wengong, Regina Barzilay, and Tommi Jaakkola, “Multi-Objective Molecule Generation using Interpretable Substructures,” Proceedings of the 37th International Conference on Machine Learning (ICML), 2020.

Jin, Wengong, Regina Barzilay, and Tommi Jaakkola, “Hierarchical Generation of Molecular Graphs using Structural Motifs,” Proceedings of the 37th International Conference on Machine Learning (ICML), 2020.

Yang, Kevin, Wengong Jin, Kyle Swanson, Regina Barzilay, and Tommi Jaakkola, “Improving Molecular Design by Stochastic Iterative Target Augmentation,” Proceedings of the 37th International Conference on Machine Learning (ICML), 2020.

Bao, Yujia, Menghua Wu, Shiyu Chang, and Regina Barzilay, “Few-shot Text Classification with Distributional Signatures,” Proceedings of International Conference on Learning Representations (ICLR), 2020.

Tuan, Luu Anh, Darsh J. Shah, and Regina Barzilay, “Capturing Greater Context for Question Generation,” Thirty-Fourth Conference of the Association for the Advancement of Artificial Intelligence (AAAI), 2020.

Shah, Darsh J., Tal Schuster, and Regina Barzilay, “Automatic Fact Guided Sentence Modification,” Thirty-Fourth Conference of the Association for the Advancement of Artificial Intelligence (AAAI), 2020.

W. Patrick Walters and Regina Barzilay, "Applications of Deep Learning in Molecule Generation and Molecular Property Prediction," Accounts of Chemical Research, 2020.

Hirschfeld, Lior and Swanson, Kyle and Yang, Kevin and Barzilay, Regina and Coley, Connor W., "Uncertainty Quantification Using Neural Networks for Molecular Property Prediction," JCIM, Volume 60, Number 8, 2020.

Schuster, Tal, Roei Schuster, Darsh Shah, and Regina Barzilay, "The Limitations of Stylometry for Detecting Machine-Generated Fake News," Computational Linguistics, Volume 46, Issue 2, June 2020.

Santus, Enrico, Tal Schuster, Amir M. Tahmasebi, Clara Li, Adam Yala, Conor R. Lanahan, Peter Prinsen, Scott F. Thompson, Samuel Coons, Lance Mynderse, Regina Barzilay, and Kevin Hughes, “Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports,” JCO Clinical Cancer Informatics, 2020.

Wang, Xiaoxue, Yujie Qian, Hanyu Gao, Connor Coley, Yiming Mo, Regina Barzilay, and Klavs Jensen, “Towards Efficient Discovery of Green Synthesis Pathways with Monte Carlo Tree Search and Reinforcement Learning,” Journal of Chemical Science, 2020.

Stokes, Jonathan M., Kevin Yang, Kyle Swanson, Wengong Jin, Andres Cubillos-Ruiz, Nina M. Donghia, Craig R. MacNair, Shawn French, Lindsey A. Carfrae, Zohar Bloom-Ackerman, Victoria M. Tran, Anush Chiappino-Pepe, Ahmed H. Badran, Ian W. Andrews, Emma J. Chory, George M. Church, Eric D. Brown, Tommi S. Jaakkola, Regina Barzilay, and James J. Collins, “A Deep Learning Approach to Antibiotic Discovery," Cell, Volume 180, Issue 4, pp. 688-702, 2020.

2019

Fisch, Adam, Jiang Guo, and Regina Barzilay, “Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers,“ Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2019.

Schuster, Tal, Darsh J. Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, and Regina Barzilay, “Towards Debiasing Fact Verification Models,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2019.

Ingraham, John, Vikas K. Garg, Regina Barzilay, and Tommi Jaakkola, “Generative Models for Graph-Based Protein Design,” ICLR Workshop on Deep Generative Models for Highly Structured Data, 2019.

Jin, Wengong, Kevin Yang, Regina Barzilay, and Tommi Jaakkola, “Learning Multimodal Graph-to-Graph Translation for Molecule Optimization,” Proceedings of International Conference on Learning Representations (ICLR), 2019.

Luo, Jiaming, Yuan Cao, and Regina Barzilay, “Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B,” Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019.

Schuster, Tal, Ori Ram, Regina Barzilay, and Amir Globerson, “Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-Shot Dependency Parsing,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.

Qian, Yujie, Enrico Santus, Zhijing Jin, Jiang Guo, and Regina Barzilay, “GraphIE: A Graph-Based Framework for Information Extraction,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.

Lehman, Eric, Jay DeYoung, Regina Barzilay and Byron C. Wallace, “Inferring Which Medical Treatments Work from Reports of Clinical Trials,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.

Yan, Susu, Enrico Santus, Adam Yala, Leonard Wee, Jason Kim, Santiago A. Lozano-Calderon, Joseph H. Schwab, Regina Barzilay, Kevin S. Hughes, and Karen De Amorim Bernstein, “Using Deep Learning Algorithm to Extract Tumour Information from Pathology and Surgical Notes of Chondrosarcoma Patients,” Proceedings of the International Conference on the Use of Computers in Radiation Therapy and the International Conference on Monte Carlo Techniques for Medical Applications (ICCR-MCMA), 2019.

Chen, Benson, Regina Barzilay, and Tommi Jaakkola, “Path-Augmented Graph Transformer Network,” ICML Workshop on Learning and Reasoning with Graph-Structured Representations, 2019.

Hu, Szu-Yeu, Enrico Santus, Alexander W. Forsyth, Devvrat Malhotra, Josh Haimson, Neal A. Chatterjee, Daniel B. Kramer, Regina Barzilay, James A. Tulsky, and Charlotta Lindvall, “Can Machine Learning Improve Patient Selection for Cardiac Resynchronization Therapy?,” PLos One, 2019 Oct 3; 14(10).

Tang, Rong, Francisco Acevedo, Conor Lanahan, Suzanne B. Coopey, Adam Yala, Regina Barzilay, Clara Li, Amy Colwell, Anthony J. Guidi, Curtis Cetrulo, Judy Garber, Barbara L. Smith, Michele A. Gadd, Michelle C. Specht, and Kevin S. Hughes, “Incidental Breast Carcinoma: Incidence, Management, and Outcomes in 4804 Bilateral Reduction Mammoplasties,” Breast Cancer Research and Treatment, 2019.

Acevedo, Francisco, Victor Diego Armengol, Zhengyi Deng, Rong Tang, Suzanne B. Coopey, Danielle Braun, Adam Yala, Regina Barzilay, Clara Li, Amy Colwell, Anthony Guidi, Curtis L. Cetrulo, Judy Garber, Barbara L. Smith, Tari King, and Kevin S. Hughes, “Pathologic Findings in Reduction Mammoplasty Specimens: A Surrogate for the Population Prevalence of Breast Cancer and High-Risk Lesions,” Breast Cancer Research and Treatment, 2019.

Yang, Kevin, Kyle Swanson, Wengong Jin, Connor Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi Jaakkola, Klavs Jensen, and Regina Barzilay, “Analyzing Learned Molecular Representations for Property Prediction,” Journal of Chemical Information and Modeling, 2019.

Yala, Adam, Constance Lehman, Tal Schuster, Tally Portnoi, Regina Barzilay, “A Deep Learning Mammography-Based Model for Improved Breast Cancer Risk Prediction,” Radiology, 2019.

Coley, Connor W., Wengong Jin, Luke Rogers, Timothy F. Jamison, Tommi S. Jaakkola, William H. Green, Regina Barzilay, and Klavs F. Jensen, “A Graph-Convolutional Neural Network Model for the Prediction of Chemical Reactivity,” Chemical Science 10, no. 2, 2019.

Yala, Adam, Tal Schuster, Randy Miles, Regina Barzilay, and Constance Lehman, “A Deep Learning Model to Triage Screening Mammograms: A Simulation Study,” Radiology, 2019.

Portnoi, Tally, Adam Yala, Tal Schuster, Regina Barzilay, Brian Dontchos, Leslie Lamb, and Constance Lehman, “Deep Learning Model to Assess Cancer Risk on the Basis of a Breast MR Image Alone,” American Journal of Roentgenology, 2019, 213: 227-233.

Bao, Yujia, Zhengyi Deng, Yan Wang, Heeyoon Kim, Victor Diego Armengol, Francisco Acevedo, Nofal Ouardaoui, Cathy Wang, Giovanni Parmigiani, “Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes,” JCO Clinical Cancer Informatics 2019, Sep; 3:1-9.

Deng, Zhengyi, Kanhua Yin, Yujia Bao, Victor Diego Armengol, Cathy Wang, Ankur Tiwari, Regina Barzilay, Giovanni Parmigiani, Danielle Braun, and Kevin S. Hughes, “Validation of a Semiautomated Natural Language Processing-Based Procedure for Meta-Analysis of Cancer Susceptiblility Gene Penetrance,” JCO Clinical Cancer Informatics 2019, Aug; 3:1-9.

Santus, Enrico, Clara Li, Adam Yala, Donald Peck, Rufina Soomro, Naveen Faridi, Isra Mamshad, Rong Tang, Conor R. Lanahan, Regina Barzilay, and Kevin Hughes, “Do Neural Information Extraction Algorithms Generalize Across Institutions?,” JCO Clinical Informatics 2019, July; 3:1-8.

Arbour, Kathryn Cecilia, Luu Anh Tuan, Hira Rizvi, Adam Yala, Matthew David Hellmann, and Regina Barzilay, Journal of Clinical Oncology 37, no. 15-suppl (May 20, 2019).

Acevedo, Francisco, Victor Diego Armengol, Zhengyi Deng, Rong Tang, Suzanne B. Coopey, Emanuele Mazzola, Conor Lanahan, Danielle Braun, Adam Yala, Regina Barzilay, Clara Li, Enrico Santus, Amy Colwell, Anthony Guidi, Curt Cetrulo, Judy Ellen Garber, Barbara L. Smith, Tari A. King, and Kevin S. Hughes, “Incidental Atypical Hyperplasia/LCIS in Mammoplasty Specimens and Subsequent Risk of Breast Cancer,” Journal of Clinical Oncology 37, no. 15-suppl (May 20, 2019).

Coopey, Suzanne, Kinyas Kartal, Clara Li, Adam Yala, Regina Barzilay, Heather Faulkner, Tari King, Francisco Acevedo, Judy Garber, Anthony Guidi, and Kevin Hughes, “Atypical Ductal Hyperplasia in Men with Gynecomastia: What is Their Breast Cancer Risk?,” Breast Cancer Research and Treatment, May 2019.

Lehman, Constance D, Adam Yala, Tal Schuster, Brian Dontchos, Manisha Bahl, Kyle Swanson, and Regina Barzilay, “Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation,” Radiology, 2019, Vol. 290, No 1, pp.52-58.

2018

Bao, Yujia, Shiyu Chang, Mo Yu, and Regina Barzilay, “Deriving Machine Attention from Human Rationales,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2018.

Guo, Jiang, Darsh Shah, and Regina Barzilay, “Multi-Source Domain Adaptation with Mixture of Experts,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2018.

Jin, Wengong, Regina Barzilay, and Tommi Jaakkola, “Junction Tree Variational Autoencoder for Molecular Graph Generation,” Proceedings of International Conference on Machine Learning (ICML), 2018.

Narasimhan, Karthik, Regina Barzilay, and Tommi Jaakkola, “Grounding Language for Transfer in Deep Reinforcement Learning,” Journal of Artificial Intelligence Research (JAIR), 63 (2018), 849-874.

Janner, Michael, Karthik Narasimhan, and Regina Barzilay, “Representation Learning for Grounded Spatial Reasoning,” Transactions of the Association for Computational Linguistics (TACL), 2018.

Bahl, Manisha, Adam Yedidia, Lili Yu, Regina Barzilay, and Constance Lehman, “A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision of High-Risk Breast Lesions,” Radiology, 2018, Vol. 286, No. 3, pp. 811-818.

2017

Shen, Tianxiao, Tao Lei, Regina Barzilay, and Tommi Jaakkola, “Style Transfer from Non-Parallel Text by Cross-Alignment,” Proceedings of Neural Information Processing Systems (NIPS), 2017.

Jin, Wengong, Connor W. Coley, Regina Barzilay, and Tommi Jaakkola, “Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network,” Proceedings of Neural Information Processing Systems (NIPS), 2017.

Lei, Tao, Wengong Jin, Regina Barzilay, and Tommi Jaakkola, “Deriving Neural Architectures from Sequence and Graph Kernels,” Proceedings of International Conference on Machine Learning (ICML), 2017.

Luo, Jiaming, Karthik Narasimhan, and Regina Barzilay, “Unsupervised Learning of Morphological Forests,” Transactions of the Association for Computational Linguistics (TACL), 2017.

Zhang, Yuan, Regina Barzilay, and Tommi Jaakkola, “Aspect-augmented Adversarial Networks for Domain Adaptation,” Transactions of the Association for Computational Linguistics (TACL), 2017.

Coley, Connor W., Regina Barzilay, Tommi S. Jaakkola, William H. Green, and Klavs F. Jensen, “Prediction of Organic Reaction Outcomes Using Machine Learning,” ACS Central Science, 2017.

Coley, Connor W., Regina Barzilay, William H. Green, Tommi S. Jaakkola, and Klavs F. Jensen, “Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction,” Journal of Chemical Information and Modeling, 2017.

2016

Lei, Tao, Regina Barzilay, and Tommi Jaakkola, “Rationalizing Neural Predictions,” Proceedings of Empirical Methods on Natural Language Processing (EMNLP), 2016.

Narasimhan, Karthik, Adam Yala, and Regina Barzilay, “Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning,” Proceedings of Empirical Methods on Natural Language Processing (EMNLP), 2016. (Best Paper Award)

Locascio, Nicholas, Karthik Narasimhan, Eduardo De Leon, Nate Kushman, and Regina Barzilay, “Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge,” Proceedings of Empirical Methods on Natural Language Processing (EMNLP), 2016.

Gu, Youyang, Tao Lei, Regina Barzilay, and Tommi Jaakkola, “Learning to Refine Text Based Recommendations,” Proceedings of Empirical Methods on Natural Language Processing (EMNLP), 2016.

Zhang, Yuan, David Gaddy, Regina Barzilay, and Tommi Jaakkola, “Ten Pairs to Tag – Multilingual Transfer for POS Tagging with Few Translation Pairs,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016.

Lei, Tao, Hrishikesh Joshi, Regina Barzilay, Tommi Jaakkola, Kateryna Tymoshenko, Alessandro Moschitti, and Lluis Marquez, “Semi-Supervised Question Retrieval with Gated Convolutions,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016.

Shen, Tianxiao, Tao Lei, and Regina Barzilay, “Making Dependency Labeling Simple, Fast, and Accurate,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016.

Yala, Adam, Regina Barzilay, Laura Salama, Molly Griffin, Grace Sollender, Aditya Bardia, Constance Lehman, Julliette M Buckley, Suzanne B Coopey, Fernanda Polubriaginof, Judy E Garber, Barbara L Smith, Michele A Gadd, Michelle C Specht, Thomas M Gudewicz, Anthony Guidi, Alphonse Taghian, Kevin S Hughes, "Using Machine Learning to Parse Breast Pathology Reports", Breast Cancer Research and Treatment, 2016.

2015

Narasimhan, Karthik, Tejas Kulkarni, and Regina Barzilay, “Language Understanding for Text-based Games Using Deep Reinforcement Learning,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2015.

Lei, Tao, Regina Barzilay, and Tommi Jaakkola, “Molding CNNs for Text: Non-linear, Non-consecutive Convolutions,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2015.

Zhang, Yuan, and Regina Barzilay, “Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2015.

Lei, Tao, Yuan Zhang, Lluis Marquez, Alessandro Moschitti, and Regina Barzilay, “High-Order Low-Rank Tensors for Semantic Role Labeling,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2015.

Zhang, Yuan, Chengtao Li, Regina Barzilay, and Kareem Darwish, “Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing,” Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2015.

Narasimhan, Karthik, and Regina Barzilay, “Machine Comprehension with Discourse Relations,” Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL), 2015.

Narasimhan, Karthik, Regina Barzilay, and Tommi. S. Jaakkola, “An Unsupervised Method for Uncovering Morphological Chains,” TACL, pp. 157-167, 2015.

2014

Zhang, Yuan, Tao Lei, Regina Barzilay, and Tommi Jaakkola, “Greed is Good if Randomized: New Inference for Dependency Parsing,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2014.

Narasimhan, Karthik, Damianos Karakos, Rich Schwartz, Stavros Tsakalidis, and Regina Barzilay, “Morphological Segmentation for Keyword Spotting,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2014.

Zhang, Yuan, Tao Lei, Regina Barzilay, Tommi Jaakkola and Amir Globerson, “Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees,” Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), 11 pages, 2014.

Lei, Tao, Yu Xin, Yuan Zhang, Regina Barzilay and Tommi Jaakkola, “Low-Rank Tensors for Scoring Dependency Structures,” Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), 11 pages, 2014.

Kushman, Nate, Yoav Artzi, Luke Zettlemoyer, and Regina Barzilay, “Learning to Automatically Solve Algebra Word Problems,” Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), 11 pages, 2014.

Belinkov, Yonatan, Tao Lei, Regina Barzilay, and Amir Globerson, “Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment,” TACL: pp. 561-572, 2014.

2013

Zhang, Yuan, Regina Barzilay and Amir Globerson, “Transfer Learning for Constituency-Based Grammars,” Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), 11 pages, 2013.

Lei, Tao, Fan Long, Regina Barzilay and Martin Rinard, “From Natural Language Specifications to Program Input Parsers,” Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), 10 pages, 2013.

Kushman, Nate and Regina Barzilay, “Using Semantic Unification to Generate Regular Expressions from Natural Language,” Proceedings of the Human Language Technology Conference (HLT-NAACL), 11 pages, 2013.

Sauper, Christina, Aria Haghighi, and Regina Barzilay, “Automatic Aggregation by Joint Modeling of Aspects and Values,” Journal of Artificial Intelligence Research, 2013.

2012

Zhang, Yuan, Roi Reichart, Regina Barzilay and Amir Globerson, “Learning to Map Into a Universal POS Tagset,” Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 11 pages, 2012.

Reichart, Roi and Regina Barzilay, “Multi-Event Extraction Guided by Global Constraints,” Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL:HLT), Montreal, Canada, 10 pages, 2012.

Stallard, David, Jacob Devlin, Michael Kayser, Yoong Keok Lee and Regina Barzilay, “Unsupervised Morphology Rivals Supervised Morphology for Arabic MT,” Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL) (Volume 2: Short Papers), Jeju, Republic of Korea, 6 pages, 2012.

Branavan, S. R. K., Nate Kushman, Tao Lei, and Regina Barzilay, “Learning High-Level Planning from Text,” Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL), Jeju, Republic of Korea, 10 pages, 2012.

Naseem, Tahira, Regina Barzilay, and Amir Globerson, “Selective Sharing for Multilingual Dependency Parsing,” Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL), Jeju, Republic of Korea, 9 pages, 2012.

Branavan, S. R. K., David Silver, and Regina Barzilay, “Learning to Win by Reading Manuals in a Monte-Carlo Framework,” Journal of Artificial Intelligence Research, 2012.

2011

Naseem, Tahira and Regina Barzilay, “Using Semantic Cues to Learn Syntax,” Proceedings of the 25th Conference on Artificial Intelligence (AAAI), San Francisco, California, 2011.

Branavan, S. R. K., David Silver, and Regina Barzilay, “Non-Linear Monte-Carlo Search in Civilization II,” Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, 7 pages, 2011.

Lee, Yoong Keok, Aria Haghighi, and Regina Barzilay, “Modeling Syntactic Context Improves Morphological Segmentation,” Proceedings of the 15th Conference on Computational Natural Language Learning (CoNLL), Portland, Oregon, 2011.

Sauper, Christina, Aria Haghighi, and Regina Barzilay, “Content Models with Attitude,” Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL), Portland, Oregon, 2011.

Chen, Harr, Edward Benson, Tahira Naseem, and Regina Barzilay, “In-domain Relation Discovery with Meta-constraints via Posterior Regularization,” Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL), Portland, Oregon, 11 pages, 2011.

Branavan, S. R. K., David Silver, and Regina Barzilay, “Learning to Win by Reading Manuals in a Monte-Carlo Framework,” Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL), Portland, Oregon, 10 pages, 2011.

Benson, Edward, Aria Haghighi, and Regina Barzilay, “Event Discovery in Social Media Feeds,” Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL), Portland, Oregon, 10 pages, 2011.

2010

Polifroni, Joseph, Stephanie Seneff, S. R. K. Branavan, Chao Wang, and Regina Barzilay. “Good Grief, I Can Speak It! Preliminary Experiments in Audio Restaurant Reviews,” Proceedings of the IEEE Workshop on Spoken Language Technology (SLT), (Best Paper Award), Berkeley, California, 2010.

Lojun, Sharon L., Christina J. Sauper, Mitchell Medow, William J. Long, Roger G. Mark, and Regina Barzilay, “Investigating Resuscitation Code Assignment in the Intensive Care Unit using Structured and Unstructured Data,” Proceedings of the AMIA 2010 Symposium, Washington, D.C., pp. 467 – 471, 2010.

Sauper, Christina, Aria Haghighi, and Regina Barzilay, “Incorporating Content Structure into Text Analysis Applications,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Cambridge, Massachusetts, 11 pages, 2010.

Naseem, Tahira, Harr Chen, Regina Barzilay, and Mark Johnson, “Using Universal Linguistic Knowledge to Guide Grammar Induction,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Cambridge, Massachusetts, 11 pages, 2010.

Lee, Yoong Keok, Aria Haghighi, and Regina Barzilay, “Simple Type-Level Unsupervised POS Tagging,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Cambridge, Massachusetts, 9 pages, 2010.

Snyder, Benjamin, Regina Barzilay, and Kevin Knight, “A Statistical Model for Lost Language Decipherment,” Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), Uppsala, Sweden, 10 pages, 2010.

Branavan, S. R. K., Luke Zettlemoyer, and Regina Barzilay, “Reading Between the Lines: Learning to Map High-level Instructions to Commands,” Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), Uppsala, Sweden, 10 pages, 2010.

Snyder, Benjamin, and Regina Barzilay, “Climbing the Tower of Babel: Unsupervised Multilingual Learning,” Proceedings of the 27th International Conference on Machine Learning (ICML), Haifa, Israel, 8 pages, 2010.

2009

Branavan, S. R. K., Harr Chen, Luke Zettlemoyer, and Regina Barzilay, “Reinforcement Learning for Mapping Instructions to Actions,” Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL), (Best Paper Award), Singapore, 9 pages, 2009.

Snyder, Benjamin, Tahira Naseem, and Regina Barzilay, “Unsupervised Multilingual Grammar Induction,” Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL), Singapore, 9 pages, 2009.

Sauper, Christina and Regina Barzilay, “Automatically Generating Wikipedia Articles: A Structure-Aware Approach,” Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL), Singapore, 9 pages, 2009.

Snyder, Benjamin, Tahira Naseem, Jacob Eisenstein, and Regina Barzilay, “Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: A Bayesian Non-Parametric Approach,” Proceedings of the Conference of the North American Chapter of the Association of Computational Linguistics (NAACL), Boulder, Colorado, pp. 371-180, 2009.

Chen, Harr, S. R. K. Branavan, Regina Barzilay, and David R. Karger, “Global Models of Document Structure Using Latent Permutations,” Proceedings of the Conference of the North American Chapter of the Association of Computational Linguistics (NAACL), Boulder, Colorado, 9 pages, 2009.

Kushman, Nate, Micah Brodsky, S. R. K. Branavan, Dina Katabi, Regina Barzilay, and Martin Rinard, “WikiDo,” Proceedings of the 8th ACM Workshop on Hot Topics in Networks (HotNets-VIII), New York City, New York, 6 pages, 2009.

Naseem, Tahira, Benjamin Snyder, Jacob Eisenstein, and Regina Barzilay, “Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches,” Journal of Artificial Intelligence Research, Volume 36, pp. 341-385, 2009.

Chen, Harr, S. R. K. Branavan, Regina Barzilay, and David Karger, “Content Modeling Using Latent Permutations," Journal of Artificial Intelligence Research, Volume 36, pp. 129-163, 2009.

Branavan, S. R. K., Harr Chen, Jacob Eisenstein, and Regina Barzilay, “Learning Document-Level Semantic Properties from Free-text Annotations,” Journal of Artificial Intelligence Research, Volume 34, pp. 569-603, 2009.

2008

Snyder, Benjamin, Tahira Naseem, Jacob Eisenstein, and Regina Barzilay, “Unsupervised Multilingual Learning for POS Tagging,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Honolulu, Hawaii, pp. 1041-1050, 2008.

Eisenstein, Jacob and Regina Barzilay, “Bayesian Unsupervised Topic Segmentation,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Honolulu, Hawaii, pp. 334-343, 2008.

Eisenstein, Jacob, Regina Barzilay, and Randall Davis, “Discourse Topic and Gestural Form,” Proceedings of the 23rd Conference of the Association for the Advancement of Artificial Intelligence (AAAI), Chicago, Illinois, pp. 836-841, 2008.

Snyder, Benjamin and Regina Barzilay, “Cross-lingual Propagation for Morphological Analysis,” Proceedings of the 23rd Conference of the Association for the Advancement of Artificial Intelligence (AAAI), Chicago, Illinois, pp. 848-854, 2008.

Branavan, S. R. K., Harr Chen, Jacob Eisenstein, and Regina Barzilay, “Learning Document Level Semantic Properties from Free-text Annotations,” Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL), Columbus, Ohio, pp. 263-271, 2008.

Eisenstein, Jacob, Regina Barzilay, and Randall Davis, “Gestural Cohesion for Topic Segmentation,” Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL), Columbus, Ohio, pp. 852-860, 2008.

Snyder, Benjamin and Regina Barzilay, “Unsupervised Multilingual Learning for Morphological Segmentation,” Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL), Columbus, Ohio, pp. 737-745, 2008.

Eisenstein, Jacob, Regina Barzilay, and Randall Davis, “Modeling Gesture Salience as a Hidden Variable for Coreference Resolution and Keyframe Extraction,” Journal of Artificial Intelligence Research, Volume 31, pp. 353-398, 2008.

Barzilay, Regina and Mirella Lapata, “Modeling Local Coherence: An Entity-based Approach,” Computational Linguistics, Volume 34, No. 1: pp. 1-34, March 2008.

2007

Chen, Erdong, Benjamin Snyder, and Regina Barzilay, “Online Text Structuring with Hierarchical Ranking,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Prague, Czech Republic, 9 pages, 2007.

Branavan, Pawan Deshpande, and Regina Barzilay, “Generating a Table-of-Contents: A Hierarchical Discriminative Approach,” Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL), Prague, Czech Republic, pp. 544-551, 2007.

Malioutov, Igor, Alex Park, Regina Barzilay, and James Glass, “Making Sense of Sound: Unsupervised Topic Segmentation over Acoustic Input,” Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL), Prague, Czech Republic, pp. 504-511, 2007.

Snyder, Benjamin and Regina Barzilay, “Multiple Aspect Ranking using the Good Grief Algorithm,” Proceedings of the Conference of the North American Chapter of the Association of Computational Linguistics (NAACL), Rochester, New York, 8 pages, 2007.

Deshpande, Pawan, Regina Barzilay, and David Karger, “Randomized Decoding for Selection-and-Ordering Problems,” Proceedings of the Conference of the North American Chapter of the Association of Computational Linguistics (NAACL), Rochester, New York, 8 pages, 2007.

Eisenstein, Jacob, Regina Barzilay, and Randall Davis, “Turning Lectures into Comic Books Using Linguistically Salient Gestures,” Proceedings of the 22nd Conference of the Association for the Advancement of Artificial Intelligence (AAAI), Vancouver, British Columbia, 6 pages, 2007.

Snyder, Benjamin and Regina Barzilay, “Database-Text Alignment via Structured Multilabel Classification,” Proceedings of the International Joint Conferences on Artificial Intelligence (IJCAI), Hyderabad, India, 6 pages, 2007. **

Glass, James, Timothy J. Hazen, Scott Cyphers, Igor Malioutov, David Huynh, and Regina Barzilay, “Recent Progress in the MIT Spoken Lecture Processing Project,” Proceedings of INTERSPEECH, Antwerp, Belgium, pp. 2553-2556, 2007.

2006

Bramsen, Philip, Pawan Deshpande, Yoong Keok Lee, and Regina Barzilay, “Inducing Temporal Graphs,” Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP), Sydney, Australia, 10 pages, 2006.

Malioutov, Igor and Regina Barzilay, “Minimum Cut Model for Spoken Lecture Segmentation,” Proceedings of Joint Conference of the International Committee on Computational Linguistics and the Association for Computational Linguistics (COLING-ACL), Sydney, Australia, 7 pages, 2006.

Bramsen, Philip and Pawan Deshpande and Yoong Keok Lee and Regina Barzilay, “Finding Temporal Order in Discharge Summaries,” Proceedings of American Medical Information Association (AMIA 2005), Washington, DC, 5 pages, 2006. **

Kauchak, David and Regina Barzilay, “Paraphrasing for Automatic Evaluation,” Proceedings of Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics (HLT-NAACL), New York, NY, pp. 455-462, 2006.

Barzilay, Regina and Mirella Lapata, “Aggregation via Set Partitioning for Natural Language Generation,” Proceedings of Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics (HLT-NAACL), New York, NY, pp. 359-366, 2006.

Lacson, Ronilda, Regina Barzilay, and William Long, “Automatic Analysis of Medical Dialogue in the Home Hemodialysis Domain: Structure Induction and Summarization,” Journal of Biomedical Informatics, pp. 541-555, 2006.

2005

Barzilay, Regina and Mirella Lapata, “Modeling Local Coherence: An Entity-Based Approach,” Proceedings of the 43rd Association for Computational Linguistics (ACL 2005), Ann Arbor, MI, pp. 141-148, 2005.

Lapata, Mirella and Regina Barzilay, “Automatic Evaluation of Text Coherence: Models and Representations,” Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2005), Edinburgh, Scotland, pp. 1085-1090, 2005.

Barzilay, Regina and Mirella Lapata, “Collective Content Selection for Concept-to-Text Generation,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2005), Vancouver, British Columbia, Canada, pp. 331-338, 2005.

Lacson, Ronilda and Regina Barzilay, “Automatic Processing of Spoken Dialogue in the Hemodialysis Domain,” Proceedings of American Medical Informatics Association (AMIA 2005), Washington, DC, 5 pages, 2005.

Barzilay, Regina and Kathleen McKeown, “Sentence Fusion for Multidocument News Summarization,” Computational Linguistics, Volume 31, pp. 297-328, September 2005.

2004

Barzilay, Regina and Lillian Lee, “Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization,” Proceedings of the Human Language Technology Conference (HLT-NAACL 2004), (Best Paper Award), Boston, MA, pp. 113-120, 2004.

2003

Barzilay, Regina and Noemie Elhadad, “Sentence Alignment for Monolingual Comparable Corpora Alignment,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2003), Sapporo, Japan, pp. 25-32, 2003.

Barzilay, Regina and Lillian Lee, “Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment,” Proceedings of the Human Language Technology Conference (HLT-NAACL 2003), Edmonton, Canada, pp. 16-23, 2003.

2002

McKeown, Kathleen R., Regina Barzilay, David Evans, Vasileios Hatzivassiloglou, Judith L. Klavans, Ani Nenkova, Carl Sable, Barry Schiffman, and Sergey Sigelman, “Tracking and Summarizing News on a Daily Basis with Columbia’s Newsblaster,” Proceedings of the Human Language Technology Conference (HLT 2002), San Diego, CA, pp. 280-285, 2002.

Barzilay, Regina and Lillian Lee, “Bootstrapping Lexical Choice via Multiple-Sequence Alignment,” Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2002), Philadelphia, PA, pp. 164-171, 2002.

Barzilay, Regina, Noemie Elhadad, and Kathleen R. McKeown, “Inferring Strategies for Sentence Ordering in Multidocument Summarization,” Journal of Artificial Intelligence Research (JAIR), Volume 17, pp. 35-55, 2002.

2001

Barzilay, Regina and Kathleen McKeown, “Extracting Paraphrases from a Parallel Corpus,” Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics (ACL-EACL 2001), Toulouse, France, pp. 50-57, 2001.

Barzilay, Regina, Noemie Elhadad, and Kathleen McKeown, “Sentence Ordering in Multidocument Summarization,” Proceedings of the Human Language Technology Conference (HLT 2001), San Diego, CA, pp. 318-324, 2001.

Hatzivassiloglou, Vasileios, Judith L. Klavans, Melissa L. Holcombe, Regina Barzilay, Min-Yen Kan, and Kathleen R. McKeown, “Simfinder: A Flexible Clustering Tool for Summarization,” Proceedings of the Workshop on Automatic Summarization, NAACL, Pittsburgh, PA, pp. 41-49, 2001.

2000

Barzilay, Regina, Michael Collins, Julia Hirschberg, and Steve Whittaker, “The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts,” Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI 2000), Austin, Texas, pp. 679-684, 2000.

1999

Barzilay, Regina, Kathleen McKeown, and Michael Elhadad, “Information Fusion in the Context of Multi-Document Summarization,” Proceedings of the 7th Annual Meeting of the Association for Computational Linguistics (ACL 1999), Maryland, pp. 550-557, 1999.

McKeown, Kathleen, Judith Klavans, Vasilis Hatzivassiloglou, Regina Barzilay, and Eleazar Eskin, “Towards Multidocument Summarization by Reformulation: Progress and Prospects,” Proceedings of the American Association for Artificial Intelligence (AAAI 1999), Orlando, FL, pp. 453-460, 1999.

Holland-Minkley, Amanda M., Regina Barzilay, and Robert Constable, “Verbalization of High-Level Formal Proofs,” Proceedings of the American Association for Artificial Intelligence (AAAI 1999), Orlando, FL, pp. 277-284, 1999.

1998

Jing, Hongyan, Regina Barzilay, Kathleen McKeown, and Michael Elhadad, “Summarization Evaluation Methods: Experiments and Analysis,” Proceedings of the American Association for Artificial Intelligence (AAAI) Symposium on Intelligent Text Summarization, Stanford University, CA, pp. 60-68, 1998.

Barzilay, Regina, Daryl McCullough, Owen Rambow, Jonathan DeCristofaro, Tanya Korelsky, and Benoit Lavoie, “A New Approach to Expert System Explanations,” Proceedings of the Ninth International Workshop on Natural Language Generation (INLG 1998), Ontario, Canada, pp. 78-87, 1998.

1997

Barzilay, Regina and Michael Elhadad, “Using Lexical Chains for Text Summarization,” Proceedings of the Intelligent Scalable Text Summarization Workshop (ISTS 1997), ACL, Madrid, Spain, pp. 10-17, 1997.