Vered Shwartz
Vered Shwartz
Allen Institute for AI & University of Washington
Verified email at allenai.org - Homepage
Title
Cited by
Cited by
Year
Improving Hypernymy Detection with an Integrated Path-based and Distributional Method
V Shwartz, Y Goldberg, I Dagan
ACL 2016, 2016
1892016
Breaking nli systems with sentences that require simple lexical inferences
M Glockner, V Shwartz, Y Goldberg
arXiv preprint arXiv:1805.02266, 2018
1382018
Hypernyms under siege: Linguistically-motivated artillery for hypernymy detection
V Shwartz, E Santus, D Schlechtweg
arXiv preprint arXiv:1612.04460, 2016
752016
SemEval-2018 task 9: Hypernym discovery
J Camacho-Collados, C Delli Bovi, L Espinosa-Anke, S Oramas, T Pasini, ...
Proceedings of the 12th International Workshop on Semantic Evaluation …, 2018
472018
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
242016
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
172019
Evaluating text gans as language models
G Tevet, G Habib, V Shwartz, J Berant
arXiv preprint arXiv:1810.12686, 2018
162018
CogALex-V Shared Task: LexNET-Integrated Path-based and Distributional Method for the Identification of Semantic Relations
V Shwartz, I Dagan
The 5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V), in COLING 2016, 2016
162016
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
142019
Learning to Exploit Structured Resources for Lexical Inference
V Shwartz, O Levy, I Dagan, J Goldberger
CoNLL 2015, 175, 2015
132015
Multi-level alignments as an extensible representation basis for textual entailment algorithms
TG Noh, S Padó, V Shwartz, I Dagan, V Nastase, K Eichler, L Kotlerman, ...
Proceedings of the fourth joint conference on lexical and computational …, 2015
122015
Paraphrase to explicate: Revealing implicit noun-compound relations
V Shwartz, I Dagan
arXiv preprint arXiv:1805.02442, 2018
112018
Olive Oil is Made of Olives, Baby Oil is Made for Babies: Interpreting Noun Compounds Using Paraphrases in a Neural Model
V Shwartz, C Waterson
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
102018
A consolidated open knowledge representation for multiple texts
R Wities, V Shwartz, G Stanovsky, M Adler, O Shapira, S Upadhyay, ...
Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and …, 2017
102017
Adding Context to Semantic Data-Driven Paraphrasing
V Shwartz, I Dagan
*SEM 2016, 2016
82016
Unsupervised Commonsense Question Answering with Self-Talk
V Shwartz, P West, RL Bras, C Bhagavatula, Y Choi
arXiv preprint arXiv:2004.05483, 2020
72020
Integrating multiplicative features into supervised distributional methods for lexical entailment
T Vu, V Shwartz
arXiv preprint arXiv:1804.08845, 2018
72018
Learning antonyms with paraphrases and a morphology-aware neural network
S Rajana, C Callison-Burch, M Apidianaki, V Shwartz
Proceedings of the 6th Joint Conference on Lexical and Computational …, 2017
62017
Acquiring predicate paraphrases from news tweets
V Shwartz, G Stanovsky, I Dagan
Proceedings of the 6th Joint Conference on Lexical and Computational …, 2017
62017
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
52019
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