Ido Dagan
Ido Dagan
Professor, Computer Science Department, Bar-Ilan University
Verified email at - Homepage
Cited by
Cited by
The pascal recognising textual entailment challenge
I Dagan, O Glickman, B Magnini
Machine learning challenges workshop, 177-190, 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
Knowledge Discovery in Textual Databases (KDT).
R Feldman, I Dagan
KDD 95, 112-117, 1995
Committee-based sampling for training probabilistic classifiers
I Dagan, SP Engelson
Machine Learning Proceedings 1995, 150-157, 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
The Fifth PASCAL Recognizing Textual Entailment Challenge.
L Bentivogli, P Clark, I Dagan, D Giampiccolo
TAC 7, 8, 2009
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
Similarity-based models of word cooccurrence probabilities
I Dagan, L Lee, FCN Pereira
Machine learning 34, 43-69, 1999
Word sense disambiguation using a second language monolingual corpus
I Dagan, A Itai
Computational linguistics 20 (4), 563-596, 1994
Termight: Identifying and translating technical terminology
I Dagan, K Church
Fourth Conference on Applied Natural Language Processing, 34-40, 1994
Recognizing textual entailment: Models and applications
I Dagan, D Roth, F Zanzotto, M Sammons
Springer Nature, 2022
Recognizing textual entailment: Rational, evaluation and approaches–erratum
I Dagan, B Dolan, B Magnini, D Roth
Natural Language Engineering 16 (1), 105-105, 2010
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
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
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
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
Robust bilingual word alignment for machine aided translation
I Dagan, K Church, W Gale
Natural Language Processing Using Very Large Corpora, 209-224, 1999
Mistake-driven learning in text categorization
I Dagan, Y Karov, D Roth
arXiv preprint cmp-lg/9706006, 1997
Improving hypernymy detection with an integrated path-based and distributional method
V Shwartz, Y Goldberg, I Dagan
arXiv preprint arXiv:1603.06076, 2016
Directional distributional similarity for lexical inference
L Kotlerman, I Dagan, I Szpektor, M Zhitomirsky-Geffet
Natural Language Engineering 16 (4), 359-389, 2010
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