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Eyal Shnarch
Eyal Shnarch
IBM Research
Verified email at cs.biu.ac.il - Homepage
Title
Cited by
Cited by
Year
Active learning for BERT: an empirical study
LE Dor, A Halfon, A Gera, E Shnarch, L Dankin, L Choshen, M Danilevsky, ...
Proceedings of the 2020 conference on empirical methods in natural language …, 2020
2432020
An autonomous debating system
N Slonim, Y Bilu, C Alzate, R Bar-Haim, B Bogin, F Bonin, L Choshen, ...
Nature 591 (7850), 379-384, 2021
2412021
Semantic inference at the lexical-syntactic level
R Bar-Haim, I Dagan, I Greental, E Shnarch
Proceedings of the National Conference on Artificial Intelligence 22 (1), 871, 2007
912007
Are you convinced? choosing the more convincing evidence with a Siamese network
M Gleize, E Shnarch, L Choshen, L Dankin, G Moshkowich, R Aharonov, ...
arXiv preprint arXiv:1907.08971, 2019
882019
Instance-based evaluation of entailment rule acquisition
I Szpektor, E Shnarch, I Dagan
Proceedings of the 45th Annual Meeting of the Association of Computational …, 2007
852007
Will it blend? blending weak and strong labeled data in a neural network for argumentation mining
E Shnarch, C Alzate, L Dankin, M Gleize, Y Hou, L Choshen, R Aharonov, ...
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
842018
Corpus wide argument mining—a working solution
L Ein-Dor, E Shnarch, L Dankin, A Halfon, B Sznajder, A Gera, C Alzate, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7683-7691, 2020
802020
Zero-shot text classification with self-training
A Gera, A Halfon, E Shnarch, Y Perlitz, L Ein-Dor, N Slonim
arXiv preprint arXiv:2210.17541, 2022
542022
Text categorization from category name via lexical reference
L Barak, I Dagan, E Shnarch
Proceedings of Human Language Technologies: The 2009 Annual Conference of …, 2009
462009
Extracting lexical reference rules from Wikipedia
E Shnarch, L Barak, I Dagan
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009
422009
Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests.
R Bar-Haim, I Dagan, S Mirkin, E Shnarch, I Szpektor, J Berant, I Greental
TAC, 2008
422008
Evaluating the inferential utility of lexical-semantic resources
S Mirkin, I Dagan, E Shnarch
Proceedings of the 12th Conference of the European Chapter of the ACL (EACL …, 2009
392009
Cluster & tune: Boost cold start performance in text classification
E Shnarch, A Gera, A Halfon, L Dankin, L Choshen, R Aharonov, ...
arXiv preprint arXiv:2203.10581, 2022
262022
Lexical reference: a semantic matching subtask
O Glickman, E Shnarch, I Dagan
Proceedings of the 2006 Conference on Empirical Methods in Natural Language …, 2006
232006
Addressing Discourse and Document Structure in the RTE Search Task.
S Mirkin, R Bar-Haim, I Dagan, E Shnarch, A Stern, I Szpektor, J Berant
TAC, 2009
222009
Efficient benchmarking (of language models)
Y Perlitz, E Bandel, A Gera, O Arviv, L Ein-Dor, E Shnarch, N Slonim, ...
arXiv preprint arXiv:2308.11696, 2023
212023
Label sleuth: From unlabeled text to a classifier in a few hours
E Shnarch, A Halfon, A Gera, M Danilevsky, Y Katsis, L Choshen, ...
arXiv preprint arXiv:2208.01483, 2022
212022
A probabilistic modeling framework for lexical entailment
E Shnarch, J Goldberger, I Dagan
Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011
182011
The benefits of bad advice: Autocontrastive decoding across model layers
A Gera, R Friedman, O Arviv, C Gunasekara, B Sznajder, N Slonim, ...
arXiv preprint arXiv:2305.01628, 2023
152023
Semantic relatedness of Wikipedia concepts–benchmark data and a working solution
LE Dor, A Halfon, Y Kantor, R Levy, Y Mass, R Rinott, E Shnarch, ...
Proceedings of the Eleventh International Conference on Language Resources …, 2018
152018
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Articles 1–20