| Improving Hypernymy Detection with an Integrated Path-based and Distributional Method V Shwartz, Y Goldberg, I Dagan ACL 2016, 2016 | 113 | 2016 |
| Breaking nli systems with sentences that require simple lexical inferences M Glockner, V Shwartz, Y Goldberg arXiv preprint arXiv:1805.02266, 2018 | 69 | 2018 |
| Hypernyms under siege: Linguistically-motivated artillery for hypernymy detection V Shwartz, E Santus, D Schlechtweg arXiv preprint arXiv:1612.04460, 2016 | 42 | 2016 |
| 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 | 23 | 2018 |
| 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 | 13 | 2016 |
| 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 | 10 | 2016 |
| Learning to Exploit Structured Resources for Lexical Inference V Shwartz, O Levy, I Dagan, J Goldberger CoNLL 2015, 175, 2015 | 10 | 2015 |
| 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 | 9 | 2017 |
| 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 | 8 | 2015 |
| Evaluating text gans as language models G Tevet, G Habib, V Shwartz, J Berant arXiv preprint arXiv:1810.12686, 2018 | 7 | 2018 |
| Integrating multiplicative features into supervised distributional methods for lexical entailment T Vu, V Shwartz arXiv preprint arXiv:1804.08845, 2018 | 6 | 2018 |
| 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 | 5 | 2018 |
| 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 | 4 | 2019 |
| Paraphrase to explicate: Revealing implicit noun-compound relations V Shwartz, I Dagan arXiv preprint arXiv:1805.02442, 2018 | 4 | 2018 |
| 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 | 4 | 2017 |
| Adding Context to Semantic Data-Driven Paraphrasing V Shwartz, I Dagan *SEM 2016, 2016 | 4 | 2016 |
| Acquiring predicate paraphrases from news tweets V Shwartz, G Stanovsky, I Dagan Proceedings of the 6th Joint Conference on Lexical and Computational …, 2017 | 2 | 2017 |
| Neural disambiguation of causal lexical markers based on context E Martínez-Cámara, V Shwartz, I Gurevych, I Dagan IWCS 2017—12th International Conference on Computational Semantics—Short …, 2017 | 2 | 2017 |
| 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 | 1 | 2019 |
| 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 | 1 | 2019 |
