Structural Supervision Improves Learning of Non-Local Grammatical Dependencies by Wilcox, Ethan, Qian, Peng, Futrell, Richard, Ballesteros, Miguel, Levy, Roger P

“…© 2019 Association for Computational Linguistics State-of-the-art LSTM language models trained on large corpora learn sequential contingencies in impressive detail and have been shown to acquire a number of non-local grammatical dependencies with some success. …”
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Inferring Which Medical Treatments Work from Reports of Clinical Trials by Lehman, Eric, DeYoung, Jay, Barzilay, Regina, Wallace, Byron C

“…© 2019 Association for Computational Linguistics How do we know if a particular medical treatment actually works? …”
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Predicting Native Language from Gaze by Berzak, Yevgeni, Shikanai, Chie, Flynn, Suzanne, Katz, Boris

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A Systematic Assessment of Syntactic Generalization in Neural Language Models by Hu, Jennifer, Gauthier, Jon, Qian, Peng, Levy, Roger P

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STARC: Structured Annotations for Reading Comprehension by Berzak, Yevgeni, Malmaud, Jonathan, Levy, Roger

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SyntaxGym: An Online Platform for Targeted Evaluation of Language Models by Gauthier, Jon, Hu, Jennifer, Wilcox, Ethan, Qian, Peng, Levy, Roger P

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Global models of document structure using latent permutations by Chen, Harr, Branavan, Satchuthanan R., Barzilay, Regina, Karger, David R.

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Zero-shot text classification via self-supervised tuning by Liu, Chaoqun, Zhang, Wenxuan, Chen, Guizhen, Wu, Xiaobao, Luu, Anh Tuan, Chang, Chip Hong, Bing, Lidong

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Multi-Source Domain Adaptation with Mixture of Experts by Guo, Jiang, Shah, Darsh, Barzilay, Regina

“…© 2018 Association for Computational Linguistics We propose a mixture-of-experts approach for unsupervised domain adaptation from multiple sources. …”
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CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes by Mullenbach, James, Pruksachatkun, Yada, Adler, Sean, Seale, Jennifer, Swartz, Jordan, McKelvey, Greg, Dai, Hui, Yang, Yi, Sontag, David

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Ten pairs to tag - Multilingual POS tagging via coarse mapping between embeddings by Gaddy, David M., Zhang, Yuan, Barzilay, Regina, Jaakkola, Tommi S.

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High-order low-rank tensors for semantic role labeling by Lei, Tao, Zhang, Yuan, Marquez, Lluis, Moschitti, Alessandro, Barzilay, Regina

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Dialogue-Oriented Review Summary Generation for Spoken Dialogue Recommendation Systems by Liu, Jingjing, Seneff, Stephanie, Zue, Victor

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Learning Personas from Dialogue with Attentive Memory Networks by Chu, Eric, Vijayaraghavan, Prashanth, Roy, Deb

“…© 2018 Association for Computational Linguistics The ability to infer persona from dialogue can have applications in areas ranging from computational narrative analysis to personalized dialogue generation. …”
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Evaluating the Ability of LSTMs to Learn Context-Free Grammars by Sennhauser, Luzi, Berwick, Robert

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Rationalizing Neural Predictions by Lei, Tao, Barzilay, Regina, Jaakkola, Tommi S

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Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge by Locascio, Nicholas (Nicholas J.), Narasimhan, Karthik Rajagopal, De Leon, Eduardo, Kushman, Nate, Barzilay, Regina

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Learning Personas from Dialogue with Attentive Memory Networks by Chu, Eric, Vijayaraghavan, Prashanth, Roy, Deb K

“…© 2018 Association for Computational Linguistics The ability to infer persona from dialogue can have applications in areas ranging from computational narrative analysis to personalized dialogue generation. …”
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Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers by Fisch, Adam, Guo, Jiang, Barzilay, Regina

“…© 2019 Association for Computational Linguistics This paper explores the task of leveraging typology in the context of cross-lingual dependency parsing. …”
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Learning to Automatically Solve Algebra Word Problems by Kushman, Nate, Artzi, Yoav, Zettlemoyer, Luke, Barzilay, Regina

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