Samuel R. Bowman - Google Scholar Citations

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	All	Since 2015
Citations	4272	4192
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Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
Christopher PottsProfessor of Linguistics and, by courtesy, of Computer Science, and Director of CSLIVerified email at stanford.edu
Alex WangPhD student at New York UniversityVerified email at nyu.edu
Adina WilliamsFacebook Artificial Intelligence ResearchVerified email at nyu.edu
Nikita NangiaNew York UniversityVerified email at nyu.edu
Oriol VinyalsResearch Scientist at Google DeepMindVerified email at google.com
Omer LevyTel Aviv UniversityVerified email at cs.tau.ac.il
Gabor AngeliCTO @ Eloquent LabsVerified email at cs.stanford.edu
Julian MichaelUniversity of WashingtonVerified email at cs.washington.edu
Felix HillResearch Scientist, DeepmindVerified email at cam.ac.uk
Alex WarstadtNew York University, Graduate StudentVerified email at nyu.edu
Phu Mon HtutNew York UniversityVerified email at nyu.edu
Kyunghyun ChoNew York University, Facebook AI ResearchVerified email at nyu.edu
Luke VilnisGraduate Research Assistant, University of Massachusetts AmherstVerified email at cs.umass.edu
Samy BengioResearch Scientist, Google BrainVerified email at google.com
Ellie PavlickBrown UniversityVerified email at brown.edu
Benjamin Van DurmeAssociate Professor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Ian TenneySoftware Engineer, GoogleVerified email at google.com
Marie-Catherine de MarneffeAssociate Professor, Linguistics, The Ohio State UniversityVerified email at ling.ohio-state.edu
Jon GauthierPh.D. Student, Massachusetts Institute of TechnologyVerified email at gauthiers.net

Samuel R. Bowman

Assistant Professor, NYU

Verified email at nyu.edu - Homepage

natural language processing representation learning computational linguistics crowdsourcing


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A large annotated corpus for learning natural language inference SR Bowman, G Angeli, C Potts, CD Manning Proceedings of EMNLP, 2015	1041	2015
Generating sentences from a continuous space SR Bowman, L Vilnis, O Vinyals, AM Dai, R Jozefowicz, S Bengio Proceedings of CoNLL, 2016	887	2016
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference A Williams, N Nangia, SR Bowman Proceedings of NAACL-HLT, 2018	401	2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding A Wang, A Singh, J Michael, F Hill, O Levy, SR Bowman Proceedings of ICLR, 2019	359	2019
A Fast Unified Model for Parsing and Sentence Understanding SR Bowman, J Gauthier, A Rastogi, R Gupta, CD Manning, C Potts Proceedings of ACL, 2016	220	2016
Annotation artifacts in natural language inference data S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ... Proceedings of NAACL, 2018	150	2018
Universal Dependencies 2.1 J Nivre, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, M Asahara, ...	124*	2017
Recursive Neural Networks Can Learn Logical Semantics SR Bowman, C Potts, CD Manning Proceedings of the 3rd Workshop on Continuous Vector Space Models and their …, 2015	114*	2015
XNLI: Evaluating Cross-lingual Sentence Representations A Conneau, G Lample, R Rinott, A Williams, SR Bowman, H Schwenk, ... Proceedings of EMNLP, 2018	88	2018
A Gold Standard Dependency Corpus for English N Silveira, T Dozat, MC de Marneffe, SR Bowman, M Connor, J Bauer, ... Proceedings of LREC, 2014	84	2014
What do you learn from context? Probing for sentence structure in contextualized word representations I Tenney, P Xia, B Chen, A Wang, A Poliak, RT McCoy, N Kim, ... Proceedings of ICLR, 2019	67	2019
Do latent tree learning models identify meaningful structure in sentences? A Williams, A Drozdov, SR Bowman Transactions of the Association for Computational Linguistics 6, 253-267, 2018	65*	2018
Speech recognition with segmental conditional random fields: A summary of the JHU CLSP 2010 summer workshop G Zweig, P Nguyen, D Van Compernolle, K Demuynck, L Atlas, P Clark, ... Proceedings of ICASSP, 5044-5047, 2011	62*	2011
Neural network acceptability judgments A Warstadt, A Singh, SR Bowman TACL 7, 625-641, 2019	59	2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems A Wang, Y Pruksachatkun, N Nangia, A Singh, J Michael, F Hill, O Levy, ... Proceedings of NeurIPS, 2019	42	2019
Tree-structured composition in neural networks without tree-structured architectures SR Bowman, CD Manning, C Potts Proceedings of the NIPS Workshop on Cognitive Computation: Integrating …, 2015	40	2015
More constructions, more genres: Extending Stanford dependencies MC de Marneffe, M Connor, N Silveira, S Bowman, T Dozat, CD Manning Proceedings of the Second International Conference on Dependency Linguistics …, 2013	37	2013
The RepEval 2017 shared task: Multi-genre natural language inference with sentence representations N Nangia, A Williams, A Lazaridou, SR Bowman Proceedings of RepEval 2017, 2017	36	2017
Sentence encoders on STILTs: Supplementary training on intermediate labeled-data tasks J Phang, T Févry, SR Bowman arXiv preprint 1811.01088, 2018	33	2018
Can recursive neural tensor networks learn logical reasoning? SR Bowman arXiv:1312.6192, 2013	33	2013

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