Roy Schwartz
Roy Schwartz
Senior lecturer, the School of Computer Science, the Hebrew University of Jerusalem
Adresse e-mail validée de cs.huji.ac.il - Page d'accueil
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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
5372018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
R Zellers, Y Bisk, R Schwartz, Y Choi
EMNLP 2018, 2018
3882018
Green AI
R Schwartz, J Dodge, NA Smith, O Etzioni
CACM 63 (December 2020), 54-63, 2019
2782019
Knowledge Enhanced Contextual Word Representations
ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ...
EMNLP 2019, 2019
2552019
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
1452020
Authorship Attribution of Micro-Messages
R Schwartz, O Tsur, A Rappoport, M Koppel
EMNLP 2013, 2013
1412013
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction.
R Schwartz, R Reichart, A Rappoport
CoNLL 2015, 2015
1202015
Show Your Work: Improved Reporting of Experimental Results
J Dodge, S Gururangan, D Card, R Schwartz, NA Smith
EMNLP 2019, 2019
1172019
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
812018
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
782017
How well do distributional models capture different types of semantic knowledge?
D Rubinstein, E Levi, R Schwartz, A Rappoport
ACL 2015, 2015
662015
Learnability-Based Syntactic Annotation Design
R Schwartz, O Abend, A Rappoport
COLING 2012, 2012
602012
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets
NF Liu, R Schwartz, NA Smith
NAACL 2019, 2019
542019
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
S Swayamdipta, R Schwartz, N Lourie, Y Wang, H Hajishirzi, NA Smith, ...
EMNLP 2020, 2020
432020
Neutralizing linguistically problematic annotations in unsupervised dependency parsing evaluation
R Schwartz, O Abend, R Reichart, A Rappoport
ACL 2011, 2011
432011
Random Feature Attention
H Peng, N Pappas, D Yogatama, R Schwartz, NA Smith, L Kong
ICLR 2021, 2021
412021
Story Cloze Task: UW NLP System
R Schwartz, M Sap, I Konstas, L Zilles, Y Choi, NA Smith
LSDSem 2017, 2017
392017
The Right Tool for the Job: Matching Model and Instance Complexities
R Schwartz, G Stanovsky, S Swayamdipta, J Dodge, NA Smith
ACL 2020, 2020
342020
Rational Recurrences
H Peng, R Schwartz, S Thomson, NA Smith
EMNLP 2018, 2018
262018
SoPa: Bridging CNNs, RNNs, and weighted finite-state machines
R Schwartz, S Thomson, NA Smith
ACL 2018, 2018
22*2018
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