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
Hao PengUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Hannaneh HajishirziUniversity of Washington; Allen AIVerified email at cs.washington.edu
Omer LevyTel Aviv University; Meta AIVerified email at cs.tau.ac.il
Gabriel StanovskyThe Hebrew University of JerusalemVerified email at mail.huji.ac.il
Roi ReichartTechnion - Israel Institute of TechnologyVerified email at ie.technion.ac.il
Nikolaos PappasAmazon (AWS AI Labs)Verified email at amazon.com
Samuel R. BowmanNYU and AnthropicVerified email at nyu.edu
Yonatan BittonResearch Scientist, GoogleVerified email at google.com
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

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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Green AI R Schwartz, J Dodge, NA Smith, O Etzioni CACM 63 (December 2020), 54-63, 2020	1019	2020
Annotation Artifacts in Natural Language Inference Data S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ... NAACL-HLT 2018, 2018	1017	2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference R Zellers, Y Bisk, R Schwartz, Y Choi EMNLP 2018, 2018	677	2018
Knowledge Enhanced Contextual Word Representations ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ... EMNLP 2019, 2019	645	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	436	2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics S Swayamdipta, R Schwartz, N Lourie, Y Wang, H Hajishirzi, NA Smith, ... EMNLP 2020, 2020	230	2020
Show Your Work: Improved Reporting of Experimental Results J Dodge, S Gururangan, D Card, R Schwartz, NA Smith EMNLP 2019, 2019	221	2019
Random Feature Attention H Peng, N Pappas, D Yogatama, R Schwartz, NA Smith, L Kong ICLR 2021, 2021	208	2021
Authorship Attribution of Micro-Messages R Schwartz, O Tsur, A Rappoport, M Koppel EMNLP 2013, 2013	175	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	158	2018
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction. R Schwartz, R Reichart, A Rappoport CoNLL 2015, 2015	140	2015
The Right Tool for the Job: Matching Model and Instance Complexities R Schwartz, G Stanovsky, S Swayamdipta, J Dodge, NA Smith ACL 2020, 2020	112	2020
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	112	2017
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets NF Liu, R Schwartz, NA Smith NAACL 2019, 2019	92	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	63	2012
Measuring the Carbon Intensity of AI in Cloud Instances J Dodge, T Prewitt, RTD Combes, E Odmark, R Schwartz, E Strubell, ... FAccT 2022, 2022	55	2022
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	46	2017
A Formal Hierarchy of RNN Architectures W Merrill, G Weiss, Y Goldberg, R Schwartz, NA Smith, E Yahav ACL 2020, 2020	44	2020

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