Vered Shwartz
Cited by
Cited by
Breaking NLI systems with sentences that require simple lexical inferences
M Glockner, V Shwartz, Y Goldberg
arXiv preprint arXiv:1805.02266, 2018
Improving Hypernymy Detection with an Integrated Path-based and Distributional Method
V Shwartz, Y Goldberg, I Dagan
ACL 2016, 2016
Unsupervised commonsense question answering with self-talk
V Shwartz, P West, RL Bras, C Bhagavatula, Y Choi
arXiv preprint arXiv:2004.05483, 2020
Social chemistry 101: Learning to reason about social and moral norms
M Forbes, JD Hwang, V Shwartz, M Sap, Y Choi
arXiv preprint arXiv:2011.00620, 2020
Surface form competition: Why the highest probability answer isn't always right
A Holtzman, P West, V Shwartz, Y Choi, L Zettlemoyer
arXiv preprint arXiv:2104.08315, 2021
Hypernyms under siege: Linguistically-motivated artillery for hypernymy detection
V Shwartz, E Santus, D Schlechtweg
arXiv preprint arXiv:1612.04460, 2016
SemEval-2018 task 9: Hypernym discovery
J Camacho-Collados, CD Bovi, LE Anke, S Oramas, T Pasini, E Santus, ...
Proceedings of the 12th international workshop on semantic evaluation, 712-724, 2018
Revisiting joint modeling of cross-document entity and event coreference resolution
S Barhom, V Shwartz, A Eirew, M Bugert, N Reimers, I Dagan
arXiv preprint arXiv:1906.01753, 2019
Commonsense reasoning for natural language processing
M Sap, V Shwartz, A Bosselut, Y Choi, D Roth
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
Still a pain in the neck: Evaluating text representations on lexical composition
V Shwartz, I Dagan
Transactions of the Association for Computational Linguistics 7, 403-419, 2019
Back to the future: Unsupervised backprop-based decoding for counterfactual and abductive commonsense reasoning
L Qin, V Shwartz, P West, C Bhagavatula, JD Hwang, R Le Bras, ...
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Clever hans or neural theory of mind? stress testing social reasoning in large language models
N Shapira, M Levy, SH Alavi, X Zhou, Y Choi, Y Goldberg, M Sap, ...
arXiv preprint arXiv:2305.14763, 2023
Thinking like a skeptic: Defeasible inference in natural language
R Rudinger, V Shwartz, JD Hwang, C Bhagavatula, M Forbes, R Le Bras, ...
Findings of the Association for Computational Linguistics: EMNLP 2020, 4661-4675, 2020
Do neural language models overcome reporting bias?
V Shwartz, Y Choi
Proceedings of the 28th International Conference on Computational …, 2020
It’s not rocket science: Interpreting figurative language in narratives
T Chakrabarty, Y Choi, V Shwartz
Transactions of the Association for Computational Linguistics 10, 589-606, 2022
Evaluating text gans as language models
G Tevet, G Habib, V Shwartz, J Berant
arXiv preprint arXiv:1810.12686, 2018
" You are grounded!": Latent Name Artifacts in Pre-trained Language Models
V Shwartz, R Rudinger, O Tafjord
arXiv preprint arXiv:2004.03012, 2020
Paragraph-level commonsense transformers with recurrent memory
S Gabriel, C Bhagavatula, V Shwartz, R Le Bras, M Forbes, Y Choi
Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12857 …, 2021
Diversify your datasets: Analyzing generalization via controlled variance in adversarial datasets
O Rozen, V Shwartz, R Aharoni, I Dagan
arXiv preprint arXiv:1910.09302, 2019
Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations
V Shwartz, I Dagan
The 5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V), in COLING 2016, 2016
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Articles 1–20