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.

  • 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.

  • 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.

 

  • 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.

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

  • 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.

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

  • 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. 

  • 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, 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. 

  • 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.  

  • 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. 

  • 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 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.

  • 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.

  • 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.

Papers in Refereed Journals

  • 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. 

  • 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.

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

  • 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).

  • 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.

Papers Archive

Proceedings of Refereed Conferences

  • Luo, Jiaming, Frederik Hartmann, Enrico Santus, Yuan Cao, and Regina Barzilay, Deciphering Undersegmented Ancient Scripts Using Phonetic Prior," TACL, 2020

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

  • 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.

 

  • 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.

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

  • 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.

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

  • 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. 

  • 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, 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. 

  • 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.  

  • 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. 

  • 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 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.

  • 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.

  • 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.

Papers in Refereed Journals

  • 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. 

  • 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.

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

  • 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).

  • 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.