Papers

Anhad Mohananey, Katharina Kann, and Samuel R. Bowman Self-Training for Unsupervised Parsing with PRPN (preprint) Proceedings of IWPT, 2020

Jason Phang, Phu Mon Htut, Yada Pruksachatkun, Haokun Liu, Clara Vania, Katharina Kann, Iacer Calixto, and Samuel R. Bowman English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too Unpublished manuscript, 2020

Alex Warstadt and Samuel R. Bowman Do self-supervised neural networks acquire a bias towards structural linguistic generalizations? (preprint pending) Proceedings of CogSci, 2020

Samuel R. Bowman, Jennimaria Palomaki, Livio Baldini Soares, and Emily Pitler Collecting Entailment Data for Pretraining: New Protocols and Negative Results Unpublished manuscript, 2020

{Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut}, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, and Samuel R. Bowman Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? Proceedings of ACL, 2020

{Yada Pruksachatkun, Phil Yeres}, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney, and Samuel R. Bowman jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models (preprint, project site) Proceedings of ACL (demonstration track), 2020

Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, and Samuel R. Bowman BLiMP: A Benchmark of Linguistic Minimal Pairs for English (preprint, project site) Transactions of the ACL (TACL), 2020

Katharina Kann, Samuel R. Bowman, and Kyunghyun Cho Learning to Learn Morphological Inflection for Resource-Poor Languages Proceedings of AAAI, 2020

Phu Mon Htut, Jason Phang, Shikha Bordia, and Samuel R. Bowman Do Attention Heads in BERT Track Syntactic Dependencies? Unpublished manuscript, 2019

Phu Mon Htut, Kyunghyun Cho, and Samuel R. Bowman Inducing Constituency Trees through Neural Machine Translation Unpublished manuscript, 2019

Katharina Kann, Anhad Mohananey, Samuel R. Bowman and Kyunghyun Cho Neural Unsupervised Parsing Beyond English Proceedings of The Workshop on Deep Learning for Low-Resource NLP (DeepLo), 2019

{Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh}, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems (project site, baseline code) Proceedings of NeurIPS, 2019

Nishant Subramani, Samuel R. Bowman, and Kyunghyun Cho Can Unconditional Language Models Recover Arbitrary Sentences? Proceedings of NeurIPS, 2019

{Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, Sheng-Fu Wang, Jason Phang, Anhad Mohananey, Phu Mon Htut, Paloma Jeretic} and Samuel R. Bowman Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs (code and data) Proceedings of EMNLP, 2019

Katharina Kann, Kyunghyun Cho and Samuel R. Bowman Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set Proceedings of EMNLP, 2019

Alex Warstadt, Amanpreet Singh, and Samuel R. Bowman Neural Network Acceptability Judgments (corpus page) Transactions of the ACL (TACL), 2019

Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas Mccoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick and Samuel R. Bowman Can You Tell Me How to Get Past Sesame Street: Sentence-Level Pretraining Beyond Language Modeling (code) Proceedings of ACL, 2019

Nikita Nangia and Samuel R. Bowman Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark Proceedings of ACL, 2019

Najoung Kim, Roma Patel, Adam Poliak, Patrick Xia, Alex Wang, Tom McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman and Ellie Pavlick Probing What Different NLP Tasks Teach Machines about Function Word Comprehension (code) Proceedings of *SEM, 2019 Best Paper Award

{Jason Phang, Thibault Févry} and Samuel R. Bowman Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks Unpublished manuscript, 2019

Chandler May, Alex Wang, Shikha Bordia, Samuel R. Bowman and Rachel Rudinger On Measuring Social Biases in Sentence Encoders (preprint) Proceedings of NAACL, 2019

Shikha Bordia and Samuel R. Bowman Identifying and Reducing Gender Bias in Word-Level Language Models Proceedings of the NAACL Student Research Workshop, 2019

Alex Warstadt and Samuel R. Bowman Grammatical Analysis of Pretrained Sentence Encoders with Acceptability Judgments (data) Unpublished manuscript, 2019

Samuel R. Bowman, Ellie Pavlick, Edouard Grave, Benjamin Van Durme, Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, and Berlin Chen Looking for ELMo's Friends: Sentence-Level Pretraining Beyond Language Modeling (code) Unpublished manuscript superseded by Can You Tell Me How to Get Past Sesame Street, above, 2019

Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding (project site) Proceedings of ICLR, 2019

Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, and Ellie Pavlick What do you learn from context? Probing for sentence structure in contextualized word representations (code) Proceedings of ICLR, 2019

Kelly W. Zhang and Samuel R. Bowman Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis Unpublished manuscript, 2018

{Katharina Kann, Alex Warstadt, Adina Williams} and Samuel R. Bowman Verb Argument Structure Alternations in Word and Sentence Embeddings (corpus page) Proceedings of SCiL, 2018

Yun Chen, Victor O.K. Li, Kyunghyun Cho and Samuel R. Bowman A Stable and Effective Learning Strategy for Trainable Greedy Decoding Proceedings of EMNLP, 2018

Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk and Veselin Stoyanov XNLI: Cross-lingual Sentence Understanding through Inference (corpus page) Proceedings of EMNLP, 2018

Phu Mon Htut, Kyunghyun Cho, and Samuel R. Bowman Grammar Induction with Neural Language Models: An Unusual Replication (code) Proceedings of EMNLP (short paper), 2018

WooJin Chung, Sheng-Fu Wang, and Samuel R. Bowman The Lifted Matrix-Space Model for Semantic Composition Proceedings of CoNLL, 2018

Nikita Nangia and Samuel R. Bowman ListOps: A Diagnostic Dataset for Latent Tree Learning (code and data) Proceedings of the NAACL Student Research Workshop, 2018

Phu Mon Htut, Samuel R. Bowman, and Kyunghyun Cho Training a Ranking Function for Open-Domain Question Answering Proceedings of the NAACL Student Research Workshop, 2018

Adina Williams, Nikita Nangia, and Samuel R. Bowman A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference (corpus page) Proceedings of NAACL, 2018

Adina Williams, Andrew Drozdov, and Samuel R. Bowman Do latent tree learning models identify meaningful structure in sentences? (code) Transactions of the ACL (TACL), 2018

Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, and Noah A. Smith Annotation Artifacts in Natural Language Inference Data (data on the MultiNLI corpus page) Proceedings of NAACL (short paper), 2018

Yichen Gong and Samuel R. Bowman Ruminating Reader: Reasoning with Gated Multi-Hop Attention Proceedings of the Workshop on Machine Reading for Question Answering, 2018

Nikita Nangia, Adina Williams, Angeliki Lazaridou, and Samuel R. Bowman The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations Proceedings of RepEval 2017: The Second Workshop on Evaluating Vector Space Representations for NLP, 2017

Rohan Kshirsagar, Robert Morris, and Samuel R. Bowman Detecting and Explaining Crisis Proceedings of The 2017 Computational Linguistics and Clinical Psychology Workshop, 2017

Sebastian Brarda, Philip Yeres, and Samuel R. Bowman Sequential Attention Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Yacine Jernite, Samuel R. Bowman, and David Sontag Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning Unpublished manuscript, 2017

Samuel R. Bowman Modeling natural language semantics in learned representations Stanford University Dissertation, 2016

{Samuel R. Bowman, Luke Vilnis}, Oriol Vinyals, Andrew M. Dai, Rafal Jozefowicz, and Samy Bengio Generating Sentences from a Continuous Space Proceedings of CoNLL, 2016

{Samuel R. Bowman, Jon Gauthier}, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning, and Christopher Potts A Fast Unified Model for Parsing and Sentence Understanding (code) Proceedings of ACL, 2016

Samuel R. Bowman, Christopher D. Manning, and Christopher Potts Tree-structured composition in neural networks without tree-structured architectures Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches, 2015

Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning A large annotated corpus for learning natural language inference (corpus page) Proceedings of EMNLP, 2015 Best New Data Set or Resource Award

Samuel R. Bowman, Christopher Potts, and Christopher D. Manning Recursive Neural Networks Can Learn Logical Semantics (code and data, poster) Proceedings of The 3rd Workshop on Continuous Vector Space Models and their Compositionality, 2015

Samuel R. Bowman, Christopher Potts, and Christopher D. Manning Learning Distributed Word Representations for Natural Logic Reasoning Proceedings of the AAAI Spring Symposium on Knowledge Representation and Reasoning, 2015

Natalia Silveira, Timothy Dozat, Marie-Catherine de Marneffe, Samuel R. Bowman, Miriam Connor, John Bauer, and Christopher D. Manning A Gold Standard Dependency Corpus for English Proceedings of LREC, 2014

Samuel R. Bowman Can recursive neural tensor networks learn logical reasoning? (code and data) Unpublished manuscript, 2014

Samuel R. Bowman and Benjamin Lokshin Idiosyncratic transparent vowels in Kazakh Proceedings of AMP, 2013 A typo in item (39) in the published version is corrected here.

Marie-Catherine de Marneffe, Miriam Connor, Natalia Silveira, Samuel R. Bowman, Timothy Dozat and Christopher D. Manning More constructions, more genres: Extending Stanford Dependencies Proceedings of DepLing, 2013

Samuel R. Bowman Two arguments for vowel harmony by trigger competition Proceedings of CLS, 2013

Samuel R. Bowman and Harshit Chopra Automatic animacy classification (poster) Proceedings of The NAACL Student Research Workshop, 2012

Samuel R. Bowman Vowel varmony, opacity, and finite-state OT Technical report TR-2011-03, Department of Computer Science, The University of Chicago.

Geoffrey Zweig, Les Atlas, Kris Demuynck, Fei Sha, Patrick Nguyen, Dirk van Compernolle, Damianos Karakos, Pascal Clark, Meihong Wang, Gregory Sell, Samuel Thomas, Samuel R. Bowman and Justine Kao Speech recognition with segmental conditional random fields: A summary of the JHU CLSP 2010 Summer Workshop Proceedings of ICASSP, 2011

Samuel R. Bowman and Karen Livescu Modeling pronunciation variation with context-dependent articulatory feature decision trees Proceedings of Interspeech, 2010

An aside: My Erdős number is 4, by way of Karen Livescu, Kamalika Chaudhuri, and Fan Chung, by way of Chris Manning, Val Spitkovsky, and Daniel Kleitman, or by way of Victor O.K. Li, Kuang Xu, and Joel H. Spencer.

Talk slides, etc.

Samuel R. Bowman Evaluating Recent Progress Toward General-Purpose Language Understanding Models Invited talk slides for a Google Research virtual invited talk, 2020

Samuel R. Bowman Evaluating Recent Progress Toward General-Purpose Language Understanding Models (video) Invited talk slides for the Allen Institute for AI and the University of Washington, 2019

Samuel R. Bowman Task-Independent Language Understanding Invited talk slides for Cornell and IBM Research, 2019

Samuel R. Bowman Task-Independent Sentence Understanding Models *SEM/SemEval joint invited talk slides, 2019

Samuel R. Bowman and Xiaodan Zhu Deep Learning for Natural Language Inference NAACL tutorial, 2019

Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning A large annotated corpus of entailments and contradictions Talk Slides from California Universities Semantics and Pragmatics, 2015

Samuel R. Bowman Computational Linguistics Guest lecture for an introductory linguistics class with Asya Pereltsvaig, 2015

Samuel R. Bowman Neural networks for natural language understanding Guest lecture for Chris Potts and Bill MacCartney's computational natural language understanding class, 2015

Samuel R. Bowman vector-entailment: A MATLAB toolkit for tree-structured recursive neural networks 2015

Samuel R. Bowman Transparent vowels in ABC: open issues ABC↔Conference invited talk handout, 2014

Samuel R. Bowman Seto vowel harmony and neutral vowels Presentation at LSA, 2013

Richard Futrell and Samuel R. Bowman Measuring amok Course paper, 2012