Ido Dagan

Hadas Zohar, Chaya Liebeskind, Jonathan Schler, Ido Dagan: Automatic thesaurus construction for cross generation corpus. JOCCH 6(1): 4 (2013)

Jonathan Berant, Ido Dagan, Jacob Goldberger: Learning Entailment Relations by Global Graph Structure Optimization. Computational Linguistics 38(1): 73-111 (2012)

Asher Stern, Ido Dagan: BIUTEE: A Modular Open-Source System for Recognizing Textual Entailment. ACL (System Demonstrations) 2012: 73-78

Meni Adler, Jonathan Berant, Ido Dagan: Entailment-based Text Exploration with Application to the Health-care Domain. ACL (System Demonstrations) 2012: 79-84

Jonathan Berant, Ido Dagan, Meni Adler, Jacob Goldberger: Efficient Tree-based Approximation for Entailment Graph Learning. ACL (1) 2012: 117-125

Naomi Zeichner, Jonathan Berant, Ido Dagan: Crowdsourcing Inference-Rule Evaluation. ACL (2) 2012: 156-160

Asher Stern, Roni Stern, Ido Dagan, Ariel Felner: Efficient Search for Transformation-based Inference. ACL (1) 2012: 283-291

Hila Weisman, Jonathan Berant, Idan Szpektor, Ido Dagan: Learning Verb Inference Rules from Linguistically-Motivated Evidence. EMNLP-CoNLL 2012: 194-204

Assaf Toledo, Sophia Katrenko, Stavroula Alexandropoulou, Heidi Klockmann, Asher Stern, Ido Dagan, Yoad Winter: Semantic Annotation for Textual Entailment Recognition. MICAI (2) 2012: 12-25

Zvika Marx, Ido Dagan, Eli Shamir: Cross-partition clustering: revealing corresponding themes across related datasets. J. Exp. Theor. Artif. Intell. 23(2): 153-180 (2011)

Eyal Shnarch, Jacob Goldberger, Ido Dagan: A Probabilistic Modeling Framework for Lexical Entailment. ACL (Short Papers) 2011: 558-563

Jonathan Berant, Ido Dagan, Jacob Goldberger: Global Learning of Typed Entailment Rules. ACL 2011: 610-619

Asher Stern, Ido Dagan: A Confidence Model for Syntactically-Motivated Entailment Proofs. RANLP 2011: 455-462

Lili Kotlerman, Zemer Avital, Ido Dagan, Amnon Lotan, Ofer Weintraub: A Support Tool for Deriving Domain Taxonomies from Wikipedia. RANLP 2011: 503-508

Shlomo Argamon-Engelson, Ido Dagan: Committee-Based Sample Selection for Probabilistic Classifiers. CoRR abs/1106.0220 (2011)

Ido Dagan, Bill Dolan, Bernardo Magnini, Dan Roth: Recognizing textual entailment: Rational, evaluation and approaches - Erratum. Natural Language Engineering 16(1): 105 (2010)

Lili Kotlerman, Ido Dagan, Idan Szpektor, Maayan Zhitomirsky-Geffet: Directional distributional similarity for lexical inference. Natural Language Engineering 16(4): 359-389 (2010)

Roni Ben Aharon, Idan Szpektor, Ido Dagan: Generating Entailment Rules from FrameNet. ACL (Short Papers) 2010: 241-246

Shachar Mirkin, Ido Dagan, Sebastian Padó: Assessing the Role of Discourse References in Entailment Inference. ACL 2010: 1209-1219

Jonathan Berant, Ido Dagan, Jacob Goldberger: Global Learning of Focused Entailment Graphs. ACL 2010: 1220-1229

Shachar Mirkin, Jonathan Berant, Ido Dagan, Eyal Shnarch: Recognising Entailment within Discourse. COLING 2010: 770-778

Azad Abad, Luisa Bentivogli, Ido Dagan, Danilo Giampiccolo, Shachar Mirkin, Emanuele Pianta, Asher Stern: A Resource for Investigating the Impact of Anaphora and Coreference on Inference. LREC 2010

Luisa Bentivogli, Elena Cabrio, Ido Dagan, Danilo Giampiccolo, Medea Lo Leggio, Bernardo Magnini: Building Textual Entailment Specialized Data Sets: a Methodology for Isolating Linguistic Phenomena Relevant to Inference. LREC 2010

Maayan Zhitomirsky-Geffet, Ido Dagan: Bootstrapping Distributional Feature Vector Quality. Computational Linguistics 35(3): 435-461 (2009)

Alfio Massimiliano Gliozzo, Carlo Strapparava, Ido Dagan: Improving text categorization bootstrapping via unsupervised learning. TSLP 6(1) (2009)

Lili Kotlerman, Ido Dagan, Idan Szpektor, Maayan Zhitomirsky-Geffet: Directional Distributional Similarity for Lexical Expansion. ACL/IJCNLP (Short Papers) 2009: 69-72

Eyal Shnarch, Libby Barak, Ido Dagan: Extracting Lexical Reference Rules from Wikipedia. ACL/IJCNLP 2009: 450-458

Shachar Mirkin, Lucia Specia, Nicola Cancedda, Ido Dagan, Marc Dymetman, Idan Szpektor: Source-Language Entailment Modeling for Translating Unknown Terms. ACL/IJCNLP 2009: 791-799

Shachar Mirkin, Ido Dagan, Eyal Shnarch: Evaluating the Inferential Utility of Lexical-Semantic Resources. EACL 2009: 558-566

Roy Bar-Haim, Jonathan Berant, Ido Dagan: A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules. EMNLP 2009: 1056-1065

Libby Barak, Ido Dagan, Eyal Shnarch: Text Categorization from Category Name via Lexical Reference. HLT-NAACL (Short Papers) 2009: 33-36

Idan Szpektor, Ido Dagan, Roy Bar-Haim, Jacob Goldberger: Contextual Preferences. ACL 2008: 683-691

Ido Dagan, Roy Bar-Haim, Idan Szpektor, Iddo Greental, Eyal Shnarch: Natural Language as the Basis for Meaning Representation and Inference. CICLing 2008: 151-170

Idan Szpektor, Ido Dagan: Learning Entailment Rules for Unary Templates. COLING 2008: 849-856

Roy Bar-Haim, Ido Dagan, Iddo Greental, Eyal Shnarch: Semantic Inference at the Lexical-Syntactic Level. AAAI 2007: 871-876

Idan Szpektor, Eyal Shnarch, Ido Dagan: Instance-based Evaluation of Entailment Rule Acquisition. ACL 2007

Moshe Koppel, Navot Akiva, Ido Dagan: Feature instability as a criterion for selecting potential style markers. JASIST 57(11): 1519-1525 (2006)

Ido Dagan, Oren Glickman, Alfio Massimiliano Gliozzo, Efrat Marmorshtein, Carlo Strapparava: Direct Word Sense Matching for Lexical Substitution. ACL 2006

Shachar Mirkin, Ido Dagan, Maayan Geffet: Integrating Pattern-Based and Distributional Similarity Methods for Lexical Entailment Acquisition. ACL 2006

Lorenza Romano, Milen Kouylekov, Idan Szpektor, Ido Dagan, Alberto Lavelli: Investigating a Generic Paraphrase-Based Approach for Relation Extraction. EACL 2006

Oren Glickman, Eyal Shnarch, Ido Dagan: Lexical Reference: a Semantic Matching Subtask. EMNLP 2006: 172-179

Joaquin Quiñonero Candela, Ido Dagan, Bernardo Magnini, Florence d'Alché-Buc (Eds.): Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment, First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers. Lecture Notes in Computer Science 3944, Springer 2006, isbn 3-540-33427-0

Oren Glickman, Ido Dagan, Moshe Koppel: A Probabilistic Classification Approach for Lexical Textual Entailment. AAAI 2005: 1050-1055

Maayan Geffet, Ido Dagan: The Distributional Inclusion Hypotheses and Lexical Entailment. ACL 2005

Oren Glickman, Ido Dagan, Moshe Koppel: A Probabilistic Lexical Approach to Textual Entailment. IJCAI 2005: 1682-1683

Ido Dagan, Oren Glickman, Bernardo Magnini: The PASCAL Recognising Textual Entailment Challenge. MLCW 2005: 177-190

Oren Glickman, Ido Dagan, Moshe Koppel: A Lexical Alignment Model for Probabilistic Textual Entailment. MLCW 2005: 287-298

Alfio Massimiliano Gliozzo, Carlo Strapparava, Ido Dagan: Investigating Unsupervised Learning for Text Categorization Bootstrapping. HLT/EMNLP 2005

Zvika Marx, Ido Dagan, Eli Shamir: A Generalized Framework for Revealing Analogous Themes across Related Topics. HLT/EMNLP 2005

Alfio Massimiliano Gliozzo, Carlo Strapparava, Ido Dagan: Unsupervised and supervised exploitation of semantic domains in lexical disambiguation. Computer Speech & Language 18(3): 275-299 (2004)

Maayan Geffet, Ido Dagan: Feature Vector Quality and Distributional Similarity. COLING 2004

Idan Szpektor, Hristo Tanev, Ido Dagan, Bonaventura Coppola: Scaling Web-based Acquisition of Entailment Relations. EMNLP 2004: 41-48

Zvika Marx, Ido Dagan, Eli Shamir: Identifying Structure across Pre-partitioned Data. NIPS 2003

Oren Glickman, Ido Dagan: Acquiring lexical paraphrases from a single corpus. RANLP 2003: 81-90

Oren Glickman, Ido Dagan: Acquiring Lexical Paraphrases from a Single Corpus. CoRR cs.CL/0312058 (2003)

Zvika Marx, Ido Dagan, Joachim M. Buhmann, Eli Shamir: Coupled Clustering: A Method for Detecting Structural Correspondence. Journal of Machine Learning Research 3: 747-780 (2002)

Zvika Marx, Ido Dagan, Joachim M. Buhmann: Coupled Clustering: a Method for Detecting Structural Correspondence. ICML 2001: 353-360

Zvika Marx, Ido Dagan, Joachim M. Buhmann: Coupled Clustering: a Method for Detecting Structural Correspondence. CoRR cs.LG/0107032 (2001)

Yuval Krymolowski, Ido Dagan: Incorporating Compositional Evidence in Memory-Based Partial Parsing. ACL 2000

Shlomo Argamon-Engelson, Ido Dagan: Committee-Based Sample Selection for Probabilistic Classifiers. J. Artif. Intell. Res. (JAIR) 11: 335-360 (1999)

Shlomo Argamon-Engelson, Ido Dagan, Yuval Krymolowski: A memory-based approach to learning shallow natural language patterns. J. Exp. Theor. Artif. Intell. 11(3): 369-390 (1999)

Ido Dagan, Lillian Lee, Fernando C. N. Pereira: Similarity-Based Models of Word Cooccurrence Probabilities. Machine Learning 34(1-3): 43-69 (1999)

Zvika Marx, Ido Dagan, Eli Shamir: Detecting Sub-Topic Correspondence through Bipartite Term Clustering. CoRR cs.CL/9908001 (1999)

Ronen Feldman, Ido Dagan, Haym Hirsh: Mining Text Using Keyword Distributions. J. Intell. Inf. Syst. 10(3): 281-300 (1998)

Shlomo Argamon, Ido Dagan, Yuval Krymolowski: A Memory-Based Approach to Learning Shallow Natural Language Patterns. COLING-ACL 1998: 67-73

Shlomo Argamon, Ido Dagan, Yuval Krymolowski: A Memory-Based Approach to Learning Shallow Natural Language Patterns. CoRR cmp-lg/9806011 (1998)

Ido Dagan, Lillian Lee, Fernando C. N. Pereira: Similarity-Based Models of Word Cooccurrence Probabilities. CoRR cs.CL/9809110 (1998)

Ido Dagan, Kenneth Ward Church: Termight: Coordinating Humans and Machines in Bilingual Terminology Acquisition. Machine Translation 12(1-2): 89-107 (1997)

Ido Dagan, Lillian Lee, Fernando C. N. Pereira: Similarity-Based Methods for Word Sense Disambiguation. ACL 1997: 56-63

Ido Dagan, Yael Karov, Dan Roth: Mistake-Driven Learning in Text Categorization. CoRR cmp-lg/9706006 (1997)

Ido Dagan, Lillian Lee, Fernando C. N. Pereira: Similarity-Based Methods For Word Sense Disambiguation. CoRR cmp-lg/9708010 (1997)

Sean P. Engelson, Ido Dagan: Minimizing Manual Annotation Cost in Supervised Training from Corpora. ACL 1996: 319-326

Sean P. Engelson, Ido Dagan: Minimizing Manual Annotation Cost In Supervised Training From Corpora. CoRR cmp-lg/9606030 (1996)

Ido Dagan, John S. Justeson, Shalom Lappin, Herbert J. Leass, Amnon Ribak: Syntax and lexical statistics in Anaphora. Applied Artificial Intelligence 9(6): 633-644 (1995)

Ido Dagan, Sean P. Engelson: Committee-Based Sampling For Training Probabilistic Classifiers. ICML 1995: 150-157

Sean P. Engelson, Ido Dagan: Sample selection in natural language learning. Learning for Natural Language Processing 1995: 230-245

Ronen Feldman, Ido Dagan: Knowledge Discovery in Textual Databases (KDT). KDD 1995: 112-117

Ido Dagan, Alon Itai: Word Sense Disambiguation Using a Second Language Monolingual Corpus. Computational Linguistics 20(4): 563-596 (1994)

Ido Dagan, Fernando C. N. Pereira, Lillian Lee: Similarity-Based Estimation of Word Cooccurrence Probabilities. ACL 1994: 272-278

Ido Dagan, Kenneth Ward Church: Termight: Identifying and Translating Technical Terminology. ANLP 1994: 34-40

Ido Dagan, Shaul Marcus, Shaul Markovitch: Contextual Word Similarity and Estimation from Sparse Data. ACL 1993: 164-171

Ulrike Rackow, Ido Dagan, Ulrike Schwall: Automatic Translation Of Noun Compounds. COLING 1992: 1249-1253

Ulrike Rackow, Ido Dagan, Ulrike Schwall: A Combined Symbolic-Empirical Apprach for the Automatic Translation of Compounds. IWBS Report 225 (1992)

Ido Dagan, Alon Itai: A set expression based inheritance system. Ann. Math. Artif. Intell. 4: 269-280 (1991)

Ido Dagan, Alon Itai, Ulrike Schwall: Two Languages Are More Informative Than One. ACL 1991: 130-137

Ido Dagan: Lexical Disambiguation: Sources of Information and their Statistical Realization. ACL 1991: 341-342

Ido Dagan, Alon Itai: Automatic Processing of Large Corpora for the Resolution of Anaphora References. COLING 1990: 330-332

Ido Dagan, Martin Charles Golumbic, Ron Y. Pinter: Trapezoid graphs and their coloring. Discrete Applied Mathematics 21(1): 35-46 (1988)