Samuel R. Bowman
Samuel R. Bowman
Assistant Professor, NYU
Bestätigte E-Mail-Adresse bei nyu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A large annotated corpus for learning natural language inference
SR Bowman, G Angeli, C Potts, CD Manning
Proceedings of EMNLP, 2015
18792015
Generating sentences from a continuous space
SR Bowman, L Vilnis, O Vinyals, AM Dai, R Jozefowicz, S Bengio
Proceedings of CoNLL, 2016
14402016
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
13892019
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
A Williams, N Nangia, SR Bowman
Proceedings of NAACL-HLT, 2018
10592018
Annotation artifacts in natural language inference data
S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ...
Proceedings of NAACL, 2018
3882018
XNLI: Evaluating Cross-lingual Sentence Representations
A Conneau, G Lample, R Rinott, A Williams, SR Bowman, H Schwenk, ...
Proceedings of EMNLP, 2018
3232018
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
3142019
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
2962016
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
2482019
Universal Dependencies 2.2
J Nivre, M Abrams, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, ...
240*2018
Neural network acceptability judgments
A Warstadt, A Singh, SR Bowman
TACL 7, 625-641, 2019
2372019
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
159*2015
A Gold Standard Dependency Corpus for English
N Silveira, T Dozat, MC de Marneffe, SR Bowman, M Connor, J Bauer, ...
Proceedings of LREC, 2014
1512014
Sentence encoders on STILTs: Supplementary training on intermediate labeled-data tasks
J Phang, T Févry, SR Bowman
arXiv preprint 1811.01088, 2018
1202018
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
105*2018
On Measuring Social Biases in Sentence Encoders
C May, A Wang, S Bordia, SR Bowman, R Rudinger
Proceedings of NAACL-HLT, 2019
1002019
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
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
63*2011
Discourse-based objectives for fast unsupervised sentence representation learning
Y Jernite, SR Bowman, D Sontag
arXiv preprint arXiv:1705.00557, 2017
602017
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
522017
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