Roy Schwartz

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Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Jesse DodgeAllen Institute for AIVerified email at allenai.org
Ari RappoportAssociate Professor of Computer Science, The Hebrew UniversityVerified email at mail.huji.ac.il
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Oren EtzioniCEO, Allen Institute for AI (AI2)Verified email at allenai.org
Swabha SwayamdiptaUniversity of Southern CaliforniaVerified email at usc.edu
Suchin GururanganUniversity of WashingtonVerified email at cs.washington.edu
Omer LevyTel Aviv University; Meta AIVerified email at cs.tau.ac.il
Hannaneh HajishirziUniversity of Washington; Allen AIVerified email at cs.washington.edu
Hao PengUniversity of WashingtonVerified email at cs.washington.edu
Nikolaos PappasAmazon Web Services (AWS AI Labs)Verified email at amazon.com
Gabriel StanovskyThe Hebrew University of JerusalemVerified email at mail.huji.ac.il
Roi ReichartTechnion - Israel Institute of TechnologyVerified email at ie.technion.ac.il
Samuel R. BowmanAssociate Professor, NYUVerified email at nyu.edu
Rowan ZellersOpenAIVerified email at cs.washington.edu
Yonatan BiskAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
William MerrillNew York UniversityVerified email at nyu.edu
Yoav GoldbergProfessor, Bar Ilan University. Research Director, AI2-IsraelVerified email at cs.biu.ac.il
Robert L Logan IVUC IrvineVerified email at uci.edu
Vidur JoshiAllen Institute for Artificial IntelligenceVerified email at allenai.org

Roy Schwartz

Senior lecturer, the School of Computer Science, the Hebrew University of Jerusalem

Verified email at mail.huji.ac.il - Homepage

Natural Language Processing Artificial Intelligence Machine Learning


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Annotation Artifacts in Natural Language Inference Data S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ... NAACL-HLT 2018, 2018	931	2018
Green AI R Schwartz, J Dodge, NA Smith, O Etzioni CACM 63 (December 2020), 54-63, 2020	856	2020
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference R Zellers, Y Bisk, R Schwartz, Y Choi EMNLP 2018, 2018	630	2018
Knowledge Enhanced Contextual Word Representations ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ... EMNLP 2019, 2019	578	2019
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping J Dodge, G Ilharco, R Schwartz, A Farhadi, H Hajishirzi, N Smith arXiv:2002.06305, 2020	371	2020
Show Your Work: Improved Reporting of Experimental Results J Dodge, S Gururangan, D Card, R Schwartz, NA Smith EMNLP 2019, 2019	205	2019
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics S Swayamdipta, R Schwartz, N Lourie, Y Wang, H Hajishirzi, NA Smith, ... EMNLP 2020, 2020	201	2020
Random Feature Attention H Peng, N Pappas, D Yogatama, R Schwartz, NA Smith, L Kong ICLR 2021, 2021	184	2021
Authorship Attribution of Micro-Messages R Schwartz, O Tsur, A Rappoport, M Koppel EMNLP 2013, 2013	169	2013
A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications D Kang, W Ammar, B Dalvi, M van Zuylen, S Kohlmeier, E Hovy, ... NAACL 2018, 2018	145	2018
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction. R Schwartz, R Reichart, A Rappoport CoNLL 2015, 2015	135	2015
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task R Schwartz, M Sap, I Konstas, L Zilles, Y Choi, NA Smith CoNLL 2017, 2017	111	2017
The Right Tool for the Job: Matching Model and Instance Complexities R Schwartz, G Stanovsky, S Swayamdipta, J Dodge, NA Smith ACL 2020, 2020	92	2020
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets NF Liu, R Schwartz, NA Smith NAACL 2019, 2019	89	2019
How well do distributional models capture different types of semantic knowledge? D Rubinstein, E Levi, R Schwartz, A Rappoport ACL 2015, 2015	83	2015
Learnability-Based Syntactic Annotation Design R Schwartz, O Abend, A Rappoport COLING 2012, 2012	62	2012
Neutralizing linguistically problematic annotations in unsupervised dependency parsing evaluation R Schwartz, O Abend, R Reichart, A Rappoport ACL 2011, 2011	52	2011
Story Cloze Task: UW NLP System R Schwartz, M Sap, I Konstas, L Zilles, Y Choi, NA Smith LSDSem 2017, 2017	45	2017
Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? W Merrill, Y Goldberg, R Schwartz, NA Smith TACL, 2021	43	2021
A Formal Hierarchy of RNN Architectures W Merrill, G Weiss, Y Goldberg, R Schwartz, NA Smith, E Yahav ACL 2020, 2020	41	2020

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