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Rotem Dror
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The hitchhiker¢s guide to testing statistical significance in natural language processing
R Dror, G Baumer, S Shlomov, R Reichart
Proceedings of the 56th annual meeting of the association for computational …, 2018
4072018
Deep dominance-how to properly compare deep neural models
R Dror, S Shlomov, R Reichart
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
1452019
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets
R Dror, G Baumer, M Bogomolov, R Reichart
Transactions of the Association for Computational Linguistics 5, 471--486, 2017
702017
Statistical significance testing for natural language processing
R Dror, L Peled-Cohen, S Shlomov, R Reichart
Morgan & Claypool Publishers, 2020
532020
A statistical analysis of summarization evaluation metrics using resampling methods
D Deutsch, R Dror, D Roth
Transactions of the Association for Computational Linguistics 9, 1132-1146, 2021
502021
RESIN-11: Schema-guided event prediction for 11 newsworthy scenarios
X Du, Z Zhang, S Li, P Yu, H Wang, T Lai, X Lin, Z Wang, I Liu, B Zhou, ...
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
302022
Re-examining system-level correlations of automatic summarization evaluation metrics
D Deutsch, R Dror, D Roth
arXiv preprint arXiv:2204.10216, 2022
262022
On the limitations of reference-free evaluations of generated text
D Deutsch, R Dror, D Roth
arXiv preprint arXiv:2210.12563, 2022
192022
State of what art? a call for multi-prompt llm evaluation
M Mizrahi, G Kaplan, D Malkin, R Dror, D Shahaf, G Stanovsky
arXiv preprint arXiv:2401.00595, 2023
162023
Zero-shot on-the-fly event schema induction
R Dror, H Wang, D Roth
arXiv preprint arXiv:2210.06254, 2022
122022
The eval4nlp 2023 shared task on prompting large language models as explainable metrics
C Leiter, J Opitz, D Deutsch, Y Gao, R Dror, S Eger
arXiv preprint arXiv:2310.19792, 2023
112023
Human-in-the-loop schema induction
T Zhang, I Tham, Z Hou, J Ren, L Zhou, H Xu, L Zhang, LJ Martin, R Dror, ...
arXiv preprint arXiv:2302.13048, 2023
92023
DMLR: Data-centric Machine Learning Research--Past, Present and Future
L Oala, M Maskey, L Bat-Leah, A Parrish, NM Gürel, TS Kuo, Y Liu, R Dror, ...
arXiv preprint arXiv:2311.13028, 2023
62023
Pareto-efficient probabilistic solutions
A Kantor, M Masin, S Shlomov, R Dror
US Patent App. 15/905,988, 2019
22019
Recommended statistical significance tests for NLP tasks
R Dror, R Reichart
arXiv preprint arXiv:1809.01448, 2018
12018
The Structured Weighted Violations Perceptron Algorithm
RDR Reichart
Conference on Empirical Methods in Natural Language Processing, 469–478, 2016
1*2016
Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems
D Deutsch, R Dror, S Eger, Y Gao, C Leiter, J Opitz, A Rücklé
Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, 2023
2023
140 Characters of Justice? The Promise and Perils of Using Social Media to Reveal Lay Punishment Perspectives
I Ravid, R Dror
U. Ill. L. Rev., 1473, 2023
2023
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
S Rijhwani, J Liu, Y Wang, R Dror
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
2020
The Structured Weighted Violations MIRA
D Ringel, R Dror, R Reichart
arXiv preprint arXiv:2005.04418, 2020
2020
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