The pascal recognising textual entailment challenge I Dagan, O Glickman, B Magnini Machine learning challenges workshop, 177-190, 2005 | 2526 | 2005 |
Improving distributional similarity with lessons learned from word embeddings O Levy, Y Goldberg, I Dagan Transactions of the association for computational linguistics 3, 211-225, 2015 | 1821 | 2015 |
Knowledge Discovery in Textual Databases (KDT). R Feldman, I Dagan KDD 95, 112-117, 1995 | 1163 | 1995 |
The third pascal recognizing textual entailment challenge D Giampiccolo, B Magnini, I Dagan, WB Dolan Proceedings of the ACL-PASCAL workshop on textual entailment and …, 2007 | 908 | 2007 |
The Fifth PASCAL Recognizing Textual Entailment Challenge. L Bentivogli, P Clark, I Dagan, D Giampiccolo TAC 7 (8), 1, 2009 | 855 | 2009 |
Committee-based sampling for training probabilistic classifiers I Dagan, SP Engelson Machine Learning Proceedings 1995, 150-157, 1995 | 802 | 1995 |
context2vec: Learning generic context embedding with bidirectional lstm O Melamud, J Goldberger, I Dagan Proceedings of the 20th SIGNLL conference on computational natural language …, 2016 | 690 | 2016 |
The second pascal recognising textual entailment challenge R Bar-Haim, I Dagan, B Dolan, L Ferro, D Giampiccolo, B Magnini, ... Proceedings of the second PASCAL challenges workshop on recognising textual …, 2006 | 671 | 2006 |
Similarity-based models of word cooccurrence probabilities I Dagan, L Lee, FCN Pereira Machine learning 34, 43-69, 1999 | 613 | 1999 |
Word sense disambiguation using a second language monolingual corpus I Dagan, A Itai Computational linguistics 20 (4), 563-596, 1994 | 464 | 1994 |
Recognizing textual entailment: Models and applications I Dagan, D Roth, F Zanzotto, M Sammons Springer Nature, 2022 | 431 | 2022 |
Termight: Identifying and translating technical terminology I Dagan, K Church Fourth Conference on Applied Natural Language Processing, 34-40, 1994 | 420 | 1994 |
Recognizing textual entailment: Rational, evaluation and approaches–erratum I Dagan, B Dolan, B Magnini, D Roth Natural Language Engineering 16 (1), 105-105, 2010 | 377 | 2010 |
Supervised open information extraction G Stanovsky, J Michael, L Zettlemoyer, I Dagan Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 359 | 2018 |
Ranking generated summaries by correctness: An interesting but challenging application for natural language inference T Falke, LFR Ribeiro, PA Utama, I Dagan, I Gurevych Proceedings of the 57th annual meeting of the association for computational …, 2019 | 337 | 2019 |
Contextual word similarity and estimation from sparse data I Dagan, S Marcus, S Markovitch 31st Annual Meeting of the Association for Computational Linguistics, 164-171, 1993 | 324 | 1993 |
Probabilistic textual entailment: Generic applied modeling of language variability I Dagan, O Glickman Learning Methods for Text Understanding and Mining 2004 (26-29), 2-5, 2004 | 323 | 2004 |
Two languages are more informative than one I Dagan, A Itai, U Schwall 29th Annual Meeting of the Association for Computational Linguistics, 130-137, 1991 | 305 | 1991 |
Mistake-driven learning in text categorization I Dagan, Y Karov, D Roth arXiv preprint cmp-lg/9706006, 1997 | 297 | 1997 |
Robust bilingual word alignment for machine aided translation I Dagan, K Church, W Gale Natural Language Processing Using Very Large Corpora, 209-224, 1999 | 292 | 1999 |