The Low-Dimensional Linear Geometry of Contextualized Word Representations by Hernandez, Evan, Andreas, Jacob

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Blank Language Models by Shen, Tianxiao, Quach, Victor, Barzilay, Regina, Jaakkola, Tommi

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Learning Bill Similarity with Annotated and Augmented Corpora of Bills by Kim, Jiseon, Griggs, Elden, Kim, In Song, Oh, Alice

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Predicting scalar diversity with context-driven uncertainty over alternatives by Hu, Jennifer, Levy, Roger, Schuster, Sebastian

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Syntactic dependencies correspond to word pairs with high mutual information by Futrell, Richard, Qian, Peng, Gibson, Edward, Fedorenko, Evelina, Blank, Idan

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How Do Neural Sequence Models Generalize? Local and Global Cues for Out-of-Distribution Prediction by Bau, D Anthony, Andreas, Jacob

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Consistent Accelerated Inference via Confident Adaptive Transformers by Schuster, Tal, Fisch, Adam, Jaakkola, Tommi, Barzilay, Regina

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Advancing Seq2seq with Joint Paraphrase Learning by Min, So Yeon, Raghavan, Preethi, Szolovits, Peter

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MRF-Chat: Improving Dialogue with Markov Random Fields by Grover, Ishaan, Huggins, Matthew, Breazeal, Cynthia, Park, Hae Won

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Exploring aspects of similarity between spoken personal narratives by disentangling them into narrative clause types by Saldias, Belen, Roy, Deb

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Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models by Wang, Yiwen, Hu, Jennifer, Levy, Roger, Qian, Peng

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Revisiting the Uniform Information Density Hypothesis by Meister, Clara, Pimentel, Tiago, Haller, Patrick, Jäger, Lena, Cotterell, Ryan, Levy, Roger

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Towards Debiasing Fact Verification Models by Schuster, Tal, Shah, Darsh, Yeo, Yun Jie Serene, Roberto Filizzola Ortiz, Daniel, Santus, Enrico, Barzilay, Regina

“…© 2019 Association for Computational Linguistics Fact verification requires validating a claim in the context of evidence. …”
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A Statistical Model for Lost Language Decipherment by Snyder, Benjamin, Barzilay, Regina, Knight, Kevin

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Using Semantic Unification to Generate Regular Expressions from Natural Language by Kushman, Nate, Barzilay, Regina

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Transfer Learning for Constituency-Based Grammars by Zhang, Yuan, Barzilay, Regina, Globerson, Amir

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What do RNN Language Models Learn about Filler–Gap Dependencies? by Wilcox, Ethan, Levy, Roger, Morita, Takashi, Futrell, Richard

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Evaluating the Ability of LSTMs to Learn Context-Free Grammars by Sennhauser, Luzi, Berwick, Robert C

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emrKBQA: A Clinical Knowledge-Base Question Answering Dataset by Raghavan, Preethi, Liang, Jennifer J, Mahajan, Diwakar, Chandra, Rachita, Szolovits, Peter

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A Generative Model of Phonotactics by Futrell, Richard Landy Jones, Albright, Adam, Graff, Peter, O’Donnell, Timothy J.

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