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2020 – today
- 2020
[c134]Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan:
Controlled Crowdsourcing for High-Quality QA-SRL Annotation. ACL 2020: 7008-7013- [c133]Michael Bugert, Nils Reimers, Shany Barhom, Ido Dagan, Iryna Gurevych:
Breaking the Subtopic Barrier in Cross-Document Event Coreference Resolution. Text2Story@ECIR 2020: 23-29 - [i45]Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan:
Paraphrasing vs Coreferring: Two Sides of the Same Coin. CoRR abs/2004.14979 (2020) - [i44]Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan:
SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks. CoRR abs/2009.00590 (2020) - [i43]Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Evaluating Interactive Summarization: an Expansion-Based Framework. CoRR abs/2009.08380 (2020) - [i42]Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan:
Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling. CoRR abs/2009.11032 (2020) - [i41]Aaron Bornstein, Arie Cattan, Ido Dagan:
CoRefi: A Crowd Sourcing Suite for Coreference Annotation. CoRR abs/2010.02588 (2020) - [i40]Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, Ido Dagan:
QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines. CoRR abs/2010.02815 (2020)
2010 – 2019
- 2019
- [j30]Chaya Liebeskind, Ido Dagan, Jonathan Schler:
An Algorithmic Scheme for Statistical Thesaurus Construction in a Morphologically Rich Language. Appl. Artif. Intell. 33(6): 483-496 (2019) - [j29]Vered Shwartz, Ido Dagan:
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition. Trans. Assoc. Comput. Linguistics 7: 403-419 (2019) - [c132]Tobias Falke, Leonardo F. R. Ribeiro
, Prasetya Ajie Utama, Ido Dagan, Iryna Gurevych:
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference. ACL (1) 2019: 2214-2220 - [c131]Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan:
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. ACL (1) 2019: 4179-4189 - [c130]Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan:
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. CoNLL 2019: 196-205 - [c129]Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan:
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. EMNLP/IJCNLP (3) 2019: 1-6 - [c128]Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych:
Better Rewards Yield Better Summaries: Learning to Summarise Without References. EMNLP/IJCNLP (1) 2019: 3108-3118 - [c127]Yevgeniy Puzikov, Claire Gardent, Ido Dagan, Iryna Gurevych:
Revisiting the Binary Linearization Technique for Surface Realization. INLG 2019: 268-278 - [c126]Amit Moryossef, Yoav Goldberg, Ido Dagan:
Improving Quality and Efficiency in Plan-based Neural Data-to-text Generation. INLG 2019: 377-382 - [c125]Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. NAACL-HLT (1) 2019: 682-687 - [c124]Amit Moryossef, Yoav Goldberg, Ido Dagan:
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation. NAACL-HLT (1) 2019: 2267-2277 - [i39]Vered Shwartz, Ido Dagan:
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition. CoRR abs/1902.10618 (2019) - [i38]Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan:
Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion. CoRR abs/1904.02496 (2019) - [i37]Amit Moryossef, Yoav Goldberg, Ido Dagan:
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation. CoRR abs/1904.03396 (2019) - [i36]Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. CoRR abs/1904.05929 (2019) - [i35]Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan:
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. CoRR abs/1906.01753 (2019) - [i34]Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych:
Better Rewards Yield Better Summaries: Learning to Summarise Without References. CoRR abs/1909.01214 (2019) - [i33]Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan:
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. CoRR abs/1909.05608 (2019) - [i32]Amit Moryossef, Ido Dagan, Yoav Goldberg:
Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation. CoRR abs/1909.09986 (2019) - [i31]Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan:
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. CoRR abs/1910.09302 (2019) - [i30]Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan:
Crowdsourcing a High-Quality Gold Standard for QA-SRL. CoRR abs/1911.03243 (2019) - [i29]Ido Dagan, Iryna Gurevych, Dan Roth, Amanda Stent:
Multi-Document Information Consolidation (Dagstuhl Seminar 19182). Dagstuhl Reports 9(4): 124-140 (2019) - 2018
- [j28]Lili Kotlerman, Ido Dagan, Oren Kurland:
Clustering small-sized collections of short texts. Inf. Retr. J. 21(4): 273-306 (2018) - [c123]Vered Shwartz, Ido Dagan:
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations. ACL (1) 2018: 1200-1211 - [c122]Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, Clare R. Voss:
Zero-Shot Transfer Learning for Event Extraction. ACL (1) 2018: 2160-2170 - [c121]Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat:
SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings. COLING (Demos) 2018: 58-62 - [c120]Ori Shapira, David Gabay, Hadar Ronen, Judit Bar-Ilan, Yael Amsterdamer, Ani Nenkova, Ido Dagan:
Evaluating Multiple System Summary Lengths: A Case Study. EMNLP 2018: 774-778 - [c119]Gabriel Stanovsky, Ido Dagan:
Semantics as a Foreign Language. EMNLP 2018: 2412-2421 - [c118]Chaya Liebeskind, Ido Dagan, Jonathan Schler:
Automatic Thesaurus Construction for Modern Hebrew. LREC 2018 - [c117]Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer:
Crowdsourcing Question-Answer Meaning Representations. NAACL-HLT (2) 2018: 560-568 - [c116]Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, Ido Dagan:
Supervised Open Information Extraction. NAACL-HLT 2018: 885-895 - [i28]Vered Shwartz, Ido Dagan:
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations. CoRR abs/1805.02442 (2018) - [i27]Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat:
Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow. CoRR abs/1807.10104 (2018) - 2017
- [c115]Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov, Ido Dagan, Iryna Gurevych:
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets. ACL (2) 2017: 352-357 - [c114]Rachel Wities, Vered Shwartz, Gabriel Stanovsky, Meni Adler, Ori Shapira, Shyam Upadhyay, Dan Roth, Eugenio Martínez-Cámara, Iryna Gurevych, Ido Dagan:
A Consolidated Open Knowledge Representation for Multiple Texts. LSDSem@EACL 2017: 12-24 - [c113]Ori Shapira, Hadar Ronen, Meni Adler, Yael Amsterdamer, Judit Bar-Ilan, Ido Dagan:
Interactive Abstractive Summarization for Event News Tweets. EMNLP (System Demonstrations) 2017: 109-114 - [c112]Oren Melamud, Ido Dagan, Jacob Goldberger:
A Simple Language Model based on PMI Matrix Approximations. EMNLP 2017: 1860-1865 - [c111]Eugenio Martínez-Cámara, Vered Shwartz, Iryna Gurevych, Ido Dagan:
Neural Disambiguation of Causal Lexical Markers Based on Context. IWCS(2) 2017 - [c110]Vered Shwartz, Gabriel Stanovsky, Ido Dagan:
Acquiring Predicate Paraphrases from News Tweets. *SEM 2017: 155-160 - [i26]Oren Melamud, Ido Dagan, Jacob Goldberger:
A Simple Language Model based on PMI Matrix Approximations. CoRR abs/1707.05266 (2017) - [i25]Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer:
Crowdsourcing Question-Answer Meaning Representations. CoRR abs/1711.05885 (2017) - 2016
- [j27]Chaya Liebeskind, Ido Dagan, Jonathan Schler:
Semiautomatic Construction of Cross-Period Thesaurus. ACM Journal on Computing and Cultural Heritage 9(4): 22:1-22:26 (2016) - [c109]Omer Levy, Ido Dagan:
Annotating Relation Inference in Context via Question Answering. ACL (2) 2016 - [c108]Vered Shwartz, Yoav Goldberg, Ido Dagan:
Improving Hypernymy Detection with an Integrated Path-based and Distributional Method. ACL (1) 2016 - [c107]Gabriel Stanovsky, Ido Dagan:
Annotating and Predicting Non-Restrictive Noun Phrase Modifications. ACL (1) 2016 - [c106]Gabriel Stanovsky, Ido Dagan, Meni Adler:
Specifying and Annotating Reduced Argument Span Via QA-SRL. ACL (2) 2016 - [c105]Vered Shwartz, Ido Dagan:
Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations. CogALex@COLING 2016: 24-29 - [c104]Vered Shwartz, Ido Dagan:
CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations. CogALex@COLING 2016: 80-85 - [c103]Omer Levy, Ido Dagan, Gabriel Stanovsky, Judith Eckle-Kohler, Iryna Gurevych:
Modeling Extractive Sentence Intersection via Subtree Entailment. COLING 2016: 2891-2901 - [c102]Oren Melamud, Jacob Goldberger, Ido Dagan:
context2vec: Learning Generic Context Embedding with Bidirectional LSTM. CoNLL 2016: 51-61 - [c101]Tobias Falke, Gabriel Stanovsky, Iryna Gurevych, Ido Dagan:
Porting an Open Information Extraction System from English to German. EMNLP 2016: 892-898 - [c100]Gabriel Stanovsky, Ido Dagan:
Creating a Large Benchmark for Open Information Extraction. EMNLP 2016: 2300-2305 - [c99]Vasily Konovalov, Ron Artstein, Oren Melamud, Ido Dagan:
The Negochat Corpus of Human-agent Negotiation Dialogues. LREC 2016 - [c98]Vered Shwartz, Ido Dagan:
Adding Context to Semantic Data-Driven Paraphrasing. *SEM@ACL 2016 - [i24]Gabriel Stanovsky, Jessica Ficler, Ido Dagan, Yoav Goldberg:
Getting More Out Of Syntax with PropS. CoRR abs/1603.01648 (2016) - [i23]Vered Shwartz, Yoav Goldberg, Ido Dagan:
Improving Hypernymy Detection with an Integrated Path-based and Distributional Method. CoRR abs/1603.06076 (2016) - [i22]Vered Shwartz, Ido Dagan:
The Roles of Path-based and Distributional Information in Recognizing Lexical Semantic Relations. CoRR abs/1608.05014 (2016) - [i21]Oren Melamud, Ido Dagan, Jacob Goldberger:
PMI Matrix Approximations with Applications to Neural Language Modeling. CoRR abs/1609.01235 (2016) - [i20]Vered Shwartz, Ido Dagan:
CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations. CoRR abs/1610.08694 (2016) - 2015
- [j26]Jonathan Berant, Noga Alon, Ido Dagan, Jacob Goldberger:
Efficient Global Learning of Entailment Graphs. Comput. Linguistics 41(2): 249-291 (2015) - [j25]Roy Bar-Haim, Ido Dagan, Jonathan Berant:
Knowledge-Based Textual Inference via Parse-Tree Transformations. J. Artif. Intell. Res. 54: 1-57 (2015) - [j24]Chaya Liebeskind, Lili Kotlerman, Ido Dagan:
Text Categorization from category name in an industry-motivated scenario. Lang. Resour. Evaluation 49(2): 227-261 (2015) - [j23]Idan Szpektor, Hristo Tanev, Ido Dagan, Bonaventura Coppola, Milen Kouylekov:
Unsupervised acquisition of entailment relations from the Web. Nat. Lang. Eng. 21(1): 3-47 (2015) - [j22]Lili Kotlerman, Ido Dagan, Bernardo Magnini, Luisa Bentivogli:
Textual entailment graphs. Nat. Lang. Eng. 21(5): 699-724 (2015) - [j21]Omer Levy, Yoav Goldberg, Ido Dagan:
Improving Distributional Similarity with Lessons Learned from Word Embeddings. Trans. Assoc. Comput. Linguistics 3: 211-225 (2015) - [c97]Gabriel Stanovsky, Ido Dagan, Mausam:
Open IE as an Intermediate Structure for Semantic Tasks. ACL (2) 2015: 303-308 - [c96]Ofer Bronstein, Ido Dagan, Qi Li, Heng Ji, Anette Frank:
Seed-Based Event Trigger Labeling: How far can event descriptions get us? ACL (2) 2015: 372-376 - [c95]Vered Shwartz, Omer Levy, Ido Dagan, Jacob Goldberger:
Learning to Exploit Structured Resources for Lexical Inference. CoNLL 2015: 175-184 - [c94]Chaya Liebeskind, Ido Dagan:
Integrating Query Performance Prediction in Term Scoring for Diachronic Thesaurus. LaTeCH@ACL 2015: 89-94 - [c93]Oren Melamud, Omer Levy, Ido Dagan:
A Simple Word Embedding Model for Lexical Substitution. VS@HLT-NAACL 2015: 1-7 - [c92]Oren Melamud, Ido Dagan, Jacob Goldberger:
Modeling Word Meaning in Context with Substitute Vectors. HLT-NAACL 2015: 472-482 - [c91]Omer Levy, Steffen Remus, Chris Biemann, Ido Dagan:
Do Supervised Distributional Methods Really Learn Lexical Inference Relations? HLT-NAACL 2015: 970-976 - [c90]Tae-Gil Noh, Sebastian Padó, Vered Shwartz, Ido Dagan, Vivi Nastase, Kathrin Eichler, Lili Kotlerman, Meni Adler:
Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms. *SEM@NAACL-HLT 2015: 193-198 - 2014
- [c89]Bernardo Magnini, Roberto Zanoli, Ido Dagan, Kathrin Eichler, Guenter Neumann, Tae-Gil Noh, Sebastian Padó, Asher Stern, Omer Levy:
The Excitement Open Platform for Textual Inferences. ACL (System Demonstrations) 2014: 43-48 - [c88]Asher Stern, Ido Dagan:
Recognizing Implied Predicate-Argument Relationships in Textual Inference. ACL (2) 2014: 739-744 - [c87]Roy Bar-Haim, Ido Dagan, Idan Szpektor:
Benchmarking Applied Semantic Inference: The PASCAL Recognising Textual Entailment Challenges. Language, Culture, Computation (1) 2014: 409-424 - [c86]Omer Levy, Ido Dagan, Jacob Goldberger:
Focused Entailment Graphs for Open IE Propositions. CoNLL 2014: 87-97 - [c85]Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor, Deniz Yuret:
Probabilistic Modeling of Joint-context in Distributional Similarity. CoNLL 2014: 181-190 - [c84]Bernardo Magnini, Ido Dagan, Günter Neumann, Sebastian Padó:
Entailment Graphs for Text Analytics in the Excitement Project. TSD 2014: 11-18 - 2013
- [b1]Ido Dagan, Dan Roth, Mark Sammons, Fabio Massimo Zanzotto:
Recognizing Textual Entailment: Models and Applications. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2013, ISBN 9781598298345, pp. 1-220 - [j20]Hadas Zohar, Chaya Liebeskind, Jonathan Schler, Ido Dagan:
Automatic thesaurus construction for cross generation corpus. ACM Journal on Computing and Cultural Heritage 6(1): 4:1-4:19 (2013) - [c83]Eyal Shnarch, Erel Segal-haLevi, Jacob Goldberger, Ido Dagan:
PLIS: a Probabilistic Lexical Inference System. ACL (Conference System Demonstrations) 2013: 97-102 - [c82]Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor:
Using Lexical Expansion to Learn Inference Rules from Sparse Data. ACL (2) 2013: 283-288 - [c81]Omer Levy, Torsten Zesch, Ido Dagan, Iryna Gurevych:
Recognizing Partial Textual Entailment. ACL (2) 2013: 451-455 - [c80]Oren Melamud, Jonathan Berant, Ido Dagan, Jacob Goldberger, Idan Szpektor:
A Two Level Model for Context Sensitive Inference Rules. ACL (1) 2013: 1331-1340 - [c79]Ido Dagan, Bernardo Magnini:
Entailment graphs for text exploration. JSSP 2013: 5 - [c78]Chaya Liebeskind, Ido Dagan, Jonathan Schler:
Semi-automatic Construction of Cross-period Thesaurus. LaTeCH@ACL 2013: 29-35 - [c77]Amnon Lotan, Asher Stern, Ido Dagan:
TruthTeller: Annotating Predicate Truth. HLT-NAACL 2013: 752-757 - [c76]Myroslava O. Dzikovska, Rodney D. Nielsen, Chris Brew, Claudia Leacock, Danilo Giampiccolo, Luisa Bentivogli, Peter Clark, Ido Dagan, Hoa Trang Dang:
SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge. SemEval@NAACL-HLT 2013: 263-274 - [c75]Omer Levy, Torsten Zesch, Ido Dagan, Iryna Gurevych:
UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis. SemEval@NAACL-HLT 2013: 285-289 - [c74]Ido Dagan:
Consolidating and Exploring Information via Textual Inference. SPIRE 2013: 1 - 2012
- [j19]Jonathan Berant, Ido Dagan, Jacob Goldberger:
Learning Entailment Relations by Global Graph Structure Optimization. Comput. Linguistics 38(1): 73-111 (2012) - [c73]Asher Stern, Ido Dagan:
BIUTEE: A Modular Open-Source System for Recognizing Textual Entailment. ACL (System Demonstrations) 2012: 73-78 - [c72]Meni Adler, Jonathan Berant, Ido Dagan:
Entailment-based Text Exploration with Application to the Health-care Domain. ACL (System Demonstrations) 2012: 79-84 - [c71]Jonathan Berant, Ido Dagan, Meni Adler, Jacob Goldberger:
Efficient Tree-based Approximation for Entailment Graph Learning. ACL (1) 2012: 117-125 - [c70]Naomi Zeichner, Jonathan Berant, Ido Dagan:
Crowdsourcing Inference-Rule Evaluation. ACL (2) 2012: 156-160 - [c69]Asher Stern, Roni Stern, Ido Dagan, Ariel Felner:
Efficient Search for Transformation-based Inference. ACL (1) 2012: 283-291 - [c68]Hila Weisman, Jonathan Berant, Idan Szpektor, Ido Dagan:
Learning Verb Inference Rules from Linguistically-Motivated Evidence. EMNLP-CoNLL 2012: 194-204 - [c67]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 - [c66]Lili Kotlerman, Ido Dagan, Maya Gorodetsky, Ezra Daya:
Sentence Clustering via Projection over Term Clusters. *SEM@NAACL-HLT 2012: 38-43 - [c65]Chaya Liebeskind, Ido Dagan, Jonathan Schler:
Statistical Thesaurus Construction for a Morphologically Rich Language. *SEM@NAACL-HLT 2012: 59-64 - [c64]Eyal Shnarch, Ido Dagan, Jacob Goldberger:
A Probabilistic Lexical Model for Ranking Textual Inferences. *SEM@NAACL-HLT 2012: 237-245 - [e7]Marianna Apidianaki, Ido Dagan, Jennifer Foster, Yuval Marton, Djamé Seddah, Reut Tsarfaty:
Proceedings of the Joint Workshop on Statistical Parsing and Semantic Processing of Morphologically Rich Languages, SPMRL@ACL 2012, Jeju, Republic of Korea, July 12, 2012. Association for Computational Linguistics 2012, ISBN 978-1-937284-30-5 [contents] - 2011
- [j18]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) - [c63]Eyal Shnarch, Jacob Goldberger, Ido Dagan:
A Probabilistic Modeling Framework for Lexical Entailment. ACL (Short Papers) 2011: 558-563 - [c62]Jonathan Berant, Ido Dagan, Jacob Goldberger:
Global Learning of Typed Entailment Rules. ACL 2011: 610-619 - [c61]Eyal Shnarch, Jacob Goldberger, Ido Dagan:
Towards a Probabilistic Model for Lexical Entailment. TextInfer@EMNLP 2011: 10-19 - [c60]Shachar Mirkin, Ido Dagan, Lili Kotlerman, Idan Szpektor:
Classification-based Contextual Preferences. TextInfer@EMNLP 2011: 20-29 - [c59]Asher Stern, Ido Dagan:
A Confidence Model for Syntactically-Motivated Entailment Proofs. RANLP 2011: 455-462 - [c58]Lili Kotlerman, Zemer Avital, Ido Dagan, Amnon Lotan, Ofer Weintraub:
A Support Tool for Deriving Domain Taxonomies from Wikipedia. RANLP 2011: 503-508 - [i19]Asher Stern, Shachar Mirkin, Eyal Shnarch, Lili Kotlerman, Ido Dagan, Amnon Lotan, Jonathan Berant:
Knowledge and Tree-Edits in Learnable Entailment Proofs. TAC 2011 - [i18]Luisa Bentivogli, Peter Clark, Ido Dagan, Danilo Giampiccolo:
The Seventh PASCAL Recognizing Textual Entailment Challenge. TAC 2011 - [i17]Shlomo Argamon-Engelson, Ido Dagan:
Committee-Based Sample Selection for Probabilistic Classifiers. CoRR abs/1106.0220 (2011) - 2010
- [j17]Ido Dagan, Bill Dolan, Bernardo Magnini, Dan Roth:
Recognizing textual entailment: Rational, evaluation and approaches - Erratum. Nat. Lang. Eng. 16(1): 105 (2010) - [j16]Lili Kotlerman, Ido Dagan, Idan Szpektor, Maayan Zhitomirsky-Geffet:
Directional distributional similarity for lexical inference. Nat. Lang. Eng. 16(4): 359-389 (2010) - [c57]Roni Ben Aharon, Idan Szpektor, Ido Dagan:
Generating Entailment Rules from FrameNet. ACL (Short Papers) 2010: 241-246 - [c56]Shachar Mirkin, Ido Dagan, Sebastian Padó:
Assessing the Role of Discourse References in Entailment Inference. ACL 2010: 1209-1219 - [c55]Jonathan Berant, Ido Dagan, Jacob Goldberger:
Global Learning of Focused Entailment Graphs. ACL 2010: 1220-1229 - [c54]Shachar Mirkin, Jonathan Berant, Ido Dagan, Eyal Shnarch:
Recognising Entailment within Discourse. COLING 2010: 770-778 - [c53]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 - [c52]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 - [i16]Asher Stern, Eyal Shnarch, Shachar Mirkin, Lili Kotlerman, Naomi Zeichner, Ido Dagan, Amnon Lotan, Jonathan Berant:
Rule Chaining and Approximate Match in textual inference. TAC 2010 - [i15]Luisa Bentivogli, Peter Clark, Ido Dagan, Danilo Giampiccolo:
The Sixth PASCAL Recognizing Textual Entailment Challenge. TAC 2010
2000 – 2009
- 2009
- [j15]Maayan Zhitomirsky-Geffet, Ido Dagan:
Bootstrapping Distributional Feature Vector Quality. Comput. Linguistics 35(3): 435-461 (2009) - [j14]