Samuel R. Bowman

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Nikita NangiaNew York UniversityVerified email at nyu.edu
Alex WangPhD student at New York UniversityVerified email at nyu.edu
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
Jason PhangNew York UniversityVerified email at nyu.edu
Alex WarstadtNew York University, Graduate StudentVerified email at nyu.edu
Christopher PottsProfessor of Linguistics and, by courtesy, of Computer ScienceVerified email at stanford.edu
Adina WilliamsResearch Scientist, Fundamental Artificial Intelligence Research (Meta Platforms Inc.)Verified email at nyu.edu
Omer LevyTel Aviv University; Meta AIVerified email at cs.tau.ac.il
Felix HillResearch Scientist, DeepmindVerified email at google.com
Oriol VinyalsResearch Scientist at Google DeepMindVerified email at google.com
Clara VaniaAmazon Alexa AIVerified email at amazon.co.uk
Ian TenneySenior Research Scientist, GoogleVerified email at google.com
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
Katharina KannUniversity of Colorado BoulderVerified email at colorado.edu
Benjamin Van DurmeJohns Hopkins University; Microsoft Semantic MachinesVerified email at cs.jhu.edu
Ellie PavlickBrown UniversityVerified email at brown.edu
Richard Yuanzhe PangNew York UniversityVerified email at nyu.edu
Tal LinzenNew York UniversityVerified email at nyu.edu
Emily PitlerGoogleVerified email at google.com
Jennimaria PalomakiGoogleVerified email at google.com

Samuel R. Bowman

Assistant Professor, NYU

Verified email at nyu.edu - Homepage

natural language processing representation learning computational linguistics crowdsourcing AI alignment


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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	3208	2019
A large annotated corpus for learning natural language inference SR Bowman, G Angeli, C Potts, CD Manning Proceedings of EMNLP, 2015	2977	2015
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference A Williams, N Nangia, SR Bowman Proceedings of NAACL-HLT, 2018	2245	2018
Generating sentences from a continuous space SR Bowman, L Vilnis, O Vinyals, AM Dai, R Jozefowicz, S Bengio Proceedings of CoNLL, 2016	2058	2016
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	881	2019
Annotation artifacts in natural language inference data S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ... Proceedings of NAACL, 2018	723	2018
XNLI: Evaluating Cross-lingual Sentence Representations A Conneau, G Lample, R Rinott, A Williams, SR Bowman, H Schwenk, ... Proceedings of EMNLP, 2018	677	2018
Neural network acceptability judgments A Warstadt, A Singh, SR Bowman TACL 7, 625-641, 2019	574	2019
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	512	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	351	2016
Universal Dependencies 2.2 J Nivre, M Abrams, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, ...	299*	2018
Sentence encoders on STILTs: Supplementary training on intermediate labeled-data tasks J Phang, T Févry, SR Bowman arXiv preprint 1811.01088, 2018	274	2018
On Measuring Social Biases in Sentence Encoders C May, A Wang, S Bordia, SR Bowman, R Rudinger Proceedings of NAACL-HLT, 2019	260	2019
A Gold Standard Dependency Corpus for English N Silveira, T Dozat, MC de Marneffe, SR Bowman, M Connor, J Bauer, ... Proceedings of LREC, 2014	230	2014
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	184*	2015
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work? Y Pruksachatkun, J Phang, H Liu, PM Htut, X Zhang, RY Pang, C Vania, ... Proceedings of ACL, 2020	133	2020
Identifying and Reducing Gender Bias in Word-Level Language Models S Bordia, SR Bowman Proceedings of the NAACL-HLT Student Research Workshop, 2019	131	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	127*	2018
BLiMP: A benchmark of linguistic minimal pairs for english A Warstadt, A Parrish, H Liu, A Mohananey, W Peng, SF Wang, ... TACL, 2020	115	2020
Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Task Analysis K Zhang, S Bowman Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018	110*	2018

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