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
Roi ReichartTechnion - Israel Institute of TechnologyVerified email at ie.technion.ac.il
Gabriel StanovskyThe Hebrew University of JerusalemVerified email at mail.huji.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
Robert L Logan IVUC IrvineVerified email at uci.edu
Vidur JoshiAllen Institute for Artificial IntelligenceVerified email at allenai.org
Matthew E PetersSr Research Scientist, Allen Institute for Artificial IntelligenceVerified email at allenai.org
Sameer SinghAssociate Professor, University of California 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


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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	877	2018
Green AI R Schwartz, J Dodge, NA Smith, O Etzioni CACM 63 (December 2020), 54-63, 2020	770	2020
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference R Zellers, Y Bisk, R Schwartz, Y Choi EMNLP 2018, 2018	607	2018
Knowledge Enhanced Contextual Word Representations ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ... EMNLP 2019, 2019	536	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	334	2020
Show Your Work: Improved Reporting of Experimental Results J Dodge, S Gururangan, D Card, R Schwartz, NA Smith EMNLP 2019, 2019	194	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	170	2020
Random Feature Attention H Peng, N Pappas, D Yogatama, R Schwartz, NA Smith, L Kong ICLR 2021, 2021	169	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	134	2018
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction. R Schwartz, R Reichart, A Rappoport CoNLL 2015, 2015	133	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	109	2017
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets NF Liu, R Schwartz, NA Smith NAACL 2019, 2019	87	2019
The Right Tool for the Job: Matching Model and Instance Complexities R Schwartz, G Stanovsky, S Swayamdipta, J Dodge, NA Smith ACL 2020, 2020	81	2020
How well do distributional models capture different types of semantic knowledge? D Rubinstein, E Levi, R Schwartz, A Rappoport ACL 2015, 2015	79	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	51	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	37	2021
SoPa: Bridging CNNs, RNNs, and weighted finite-state machines R Schwartz, S Thomson, NA Smith ACL 2018, 2018	37*	2018

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