| 2026 | ACL | PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise. | Sapir Harary, Eran Hirsch, Aviv Slobodkin, David Wan, Mohit Bansal, Ido Dagan |
| 2026 | EACL | User-Centric Evidence Ranking for Attribution and Fact Verification. | Guy Alt, Eran Hirsch, Serwar Basch, Ido Dagan, Oren Glickman |
| 2026 | EACL | Effective QA-Driven Annotation of Predicate-Argument Relations Across Languages. | Jonathan Davidov, Aviv Slobodkin, Shmuel Tomi Klein, Reut Tsarfaty, Ido Dagan, Ayal Klein |
| 2025 | ACL | LAQuer: Localized Attribution Queries in Content-grounded Generation. | Eran Hirsch, Aviv Slobodkin, David Wan, Elias Stengel-Eskin, Mohit Bansal, Ido Dagan |
| 2025 | EMNLP | Small Models, Big Results: Achieving Superior Intent Extraction through Decomposition. | Danielle Cohen, Yoni Halpern, Noam Kahlon, Joel Oren, Omri Berkovitch, Sapir Caduri, Ido Dagan, Anatoly Efros |
| 2025 | EMNLP | Beyond Pairwise: Global Zero-shot Temporal Graph Generation. | Alon Eirew, Kfir Bar, Ido Dagan |
| 2025 | IJCNLP | QA-Noun: Representing Nominal Semantics via Natural Language Question-Answer Pairs. | Maria Tseytlin, Paul Roit, Omri Abend, Ido Dagan, Ayal Klein |
| 2025 | NAACL | EventFull: Complete and Consistent Event Relation Annotation. | Alon Eirew, Eviatar Nachshoni, Aviv Slobodkin, Ido Dagan |
| 2025 | NAACL | Superlatives in Context: Modeling the Implicit Semantics of Superlatives. | Valentina Pyatkin, Bonnie Webber, Ido Dagan, Reut Tsarfaty |
| 2025 | WWW | Identifying User Goals From UI Trajectories. | Omri Berkovitch, Sapir Caduri, Noam Kahlon, Anatoly Efros, Avi Caciularu, Ido Dagan |
| 2025 | WWW | Agent-Initiated Interaction in Phone UI Automation. | Noam Kahlon, Guy Rom, Anatoly Efros, Filippo Galgani, Omri Berkovitch, Sapir Caduri, William E. Bishop, Oriana Riva, Ido Dagan |
| 2024 | ACL | The Power of Summary-Source Alignments. | Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan |
| 2024 | ACL | Explicating the Implicit: Argument Detection Beyond Sentence Boundaries. | Paul Roit, Aviv Slobodkin, Eran Hirsch, Arie Cattan, Ayal Klein, Valentina Pyatkin, Ido Dagan |
| 2024 | ACL | Attribute First, then Generate: Locally-attributable Grounded Text Generation. | Aviv Slobodkin, Eran Hirsch, Arie Cattan, Tal Schuster, Ido Dagan |
| 2024 | EMNLP | Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts. | Lotem Golany, Filippo Galgani, Maya Mamo, Nimrod Parasol, Omer Vandsburger, Nadav Bar, Ido Dagan |
| 2024 | EMNLP | Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP. | Omer Goldman, Alon Jacovi, Aviv Slobodkin, Aviya Maimon, Ido Dagan, Reut Tsarfaty |
| 2024 | EMNLP | Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model. | Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Ido Dagan |
| 2024 | NAACL | Multi-Review Fusion-in-Context. | Aviv Slobodkin, Ori Shapira, Ran Levy, Ido Dagan |
| 2023 | ACL | Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. | Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan |
| 2023 | ACL | Revisiting Sentence Union Generation as a Testbed for Text Consolidation. | Eran Hirsch, Valentina Pyatkin, Ruben Wolhandler, Avi Caciularu, Asi Shefer, Ido Dagan |
| 2023 | EMNLP | OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization. | Shmuel Amar, Liat Schiff, Ori Ernst, Asi Shefer, Ori Shapira, Ido Dagan |
| 2023 | EMNLP | Optimizing Retrieval-augmented Reader Models via Token Elimination. | Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat |
| 2023 | EMNLP | CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. | Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan |
| 2023 | EMNLP | Re-Examining Summarization Evaluation across Multiple Quality Criteria. | Ori Ernst, Ori Shapira, Ido Dagan, Ran Levy |
| 2023 | EMNLP | Don't Add, don't Miss: Effective Content Preserving Generation from Pre-Selected Text Spans. | Aviv Slobodkin, Avi Caciularu, Eran Hirsch, Ido Dagan |
| 2023 | EMNLP | The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models. | Aviv Slobodkin, Omer Goldman, Avi Caciularu, Ido Dagan, Shauli Ravfogel |
| 2023 | EMNLP | SummHelper: Collaborative Human-Computer Summarization. | Aviv Slobodkin, Niv Nachum, Shmuel Amar, Ori Shapira, Ido Dagan |
| 2022 | EMNLP | Cross-document Event Coreference Search: Task, Dataset and Modeling. | Alon Eirew, Avi Caciularu, Ido Dagan |
| 2022 | EMNLP | QASem Parsing: Text-to-text Modeling of QA-based Semantics. | Ayal Klein, Eran Hirsch, Ron Eliav, Valentina Pyatkin, Avi Caciularu, Ido Dagan |
| 2022 | EMNLP | Controlled Text Reduction. | Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, Ido Dagan |
| 2022 | EMNLP | How "Multi" is Multi-Document Summarization? | Ruben Wolhandler, Arie Cattan, Ori Ernst, Ido Dagan |
| 2022 | LREC | Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and Training. | Merel C. J. Scholman, Valentina Pyatkin, Frances Yung, Ido Dagan, Reut Tsarfaty, Vera Demberg |
| 2022 | NAACL | Long Context Question Answering via Supervised Contrastive Learning. | Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan |
| 2022 | NAACL | Proposition-Level Clustering for Multi-Document Summarization. | Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan |
| 2022 | NAACL | Interactive Query-Assisted Summarization via Deep Reinforcement Learning. | Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Ido Dagan, Yael Amsterdamer |
| 2022 | NAACL | Extending Multi-Text Sentence Fusion Resources via Pyramid Annotations. | Daniela Brook Weiss, Paul Roit, Ori Ernst, Ido Dagan |
| 2021 | ACL | Cross-document Coreference Resolution over Predicted Mentions. | Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan |
| 2021 | CoNLL | Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline. | Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan |
| 2021 | EACL | CD\^2CR: Co-reference resolution across documents and domains. | James Ravenscroft, Amanda Clare, Arie Cattan, Ido Dagan, Maria Liakata |
| 2021 | EMNLP | CDLM: Cross-Document Language Modeling. | Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan |
| 2021 | EMNLP | iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. | Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan |
| 2021 | EMNLP | Asking It All: Generating Contextualized Questions for any Semantic Role. | Valentina Pyatkin, Paul Roit, Julian Michael, Yoav Goldberg, Reut Tsarfaty, Ido Dagan |
| 2021 | EMNLP | QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions. | Daniela Brook Weiss, Paul Roit, Ayal Klein, Ori Ernst, Ido Dagan |
| 2021 | NAACL | WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia. | Alon Eirew, Arie Cattan, Ido Dagan |
| 2021 | NAACL | Extending Multi-Document Summarization Evaluation to the Interactive Setting. | Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan |
| 2020 | ACL | Controlled Crowdsourcing for High-Quality QA-SRL Annotation. | Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan |
| 2020 | COLING | QANom: Question-Answer driven SRL for Nominalizations. | Ayal Klein, Jonathan Mamou, Valentina Pyatkin, Daniela Stepanov, Hangfeng He, Dan Roth, Luke Zettlemoyer, Ido Dagan |
| 2020 | ECIR | Breaking the Subtopic Barrier in Cross-Document Event Coreference Resolution. | Michael Bugert, Nils Reimers, Shany Barhom, Ido Dagan, Iryna Gurevych |
| 2020 | EMNLP | Within-Between Lexical Relation Classification. | Oren Barkan, Avi Caciularu, Ido Dagan |
| 2020 | EMNLP | CoRefi: A Crowd Sourcing Suite for Coreference Annotation. | Aaron Bornstein, Arie Cattan, Ido Dagan |
| 2020 | EMNLP | Paraphrasing vs Coreferring: Two Sides of the Same Coin. | Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan |
| 2020 | EMNLP | QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines. | Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, Ido Dagan |
| 2019 | ACL | Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. | Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan |
| 2019 | ACL | Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference. | Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan, Iryna Gurevych |
| 2019 | CoNLL | Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. | Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan |
| 2019 | EMNLP | Better Rewards Yield Better Summaries: Learning to Summarise Without References. | Florian Bhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych |
| 2019 | EMNLP | ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. | Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan |
| 2019 | INLG | Improving Quality and Efficiency in Plan-based Neural Data-to-text Generation. | Amit Moryossef, Yoav Goldberg, Ido Dagan |
| 2019 | INLG | Revisiting the Binary Linearization Technique for Surface Realization. | Yevgeniy Puzikov, Claire Gardent, Ido Dagan, Iryna Gurevych |
| 2019 | NAACL | Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation. | Amit Moryossef, Yoav Goldberg, Ido Dagan |
| 2019 | NAACL | Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. | Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan |
| 2018 | ACL | Zero-Shot Transfer Learning for Event Extraction. | Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, Clare R. Voss |
| 2018 | ACL | Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations. | Vered Shwartz, Ido Dagan |
| 2018 | COLING | SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings. | Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat |
| 2018 | EMNLP | Evaluating Multiple System Summary Lengths: A Case Study. | Ori Shapira, David Gabay, Hadar Ronen, Judit Bar-Ilan, Yael Amsterdamer, Ani Nenkova, Ido Dagan |
| 2018 | EMNLP | Semantics as a Foreign Language. | Gabriel Stanovsky, Ido Dagan |
| 2018 | LREC | Automatic Thesaurus Construction for Modern Hebrew. | Chaya Liebeskind, Ido Dagan, Jonathan Schler |
| 2018 | NAACL | Crowdsourcing Question-Answer Meaning Representations. | Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer |
| 2018 | NAACL | Supervised Open Information Extraction. | Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, Ido Dagan |
| 2017 | ACL | Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets. | Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov, Ido Dagan, Iryna Gurevych |
| 2017 | EACL | A Consolidated Open Knowledge Representation for Multiple Texts. | Rachel Wities, Vered Shwartz, Gabriel Stanovsky, Meni Adler, Ori Shapira, Shyam Upadhyay, Dan Roth, Eugenio Martnez-Cmara, Iryna Gurevych, Ido Dagan |
| 2017 | EMNLP | A Simple Language Model based on PMI Matrix Approximations. | Oren Melamud, Ido Dagan, Jacob Goldberger |
| 2017 | EMNLP | Interactive Abstractive Summarization for Event News Tweets. | Ori Shapira, Hadar Ronen, Meni Adler, Yael Amsterdamer, Judit Bar-Ilan, Ido Dagan |
| 2016 | ACL | Annotating Relation Inference in Context via Question Answering. | Omer Levy, Ido Dagan |
| 2016 | ACL | Improving Hypernymy Detection with an Integrated Path-based and Distributional Method. | Vered Shwartz, Yoav Goldberg, Ido Dagan |
| 2016 | ACL | Annotating and Predicting Non-Restrictive Noun Phrase Modifications. | Gabriel Stanovsky, Ido Dagan |
| 2016 | ACL | Specifying and Annotating Reduced Argument Span Via QA-SRL. | Gabriel Stanovsky, Ido Dagan, Meni Adler |
| 2016 | COLING | Modeling Extractive Sentence Intersection via Subtree Entailment. | Omer Levy, Ido Dagan, Gabriel Stanovsky, Judith Eckle-Kohler, Iryna Gurevych |
| 2016 | CoNLL | context2vec: Learning Generic Context Embedding with Bidirectional LSTM. | Oren Melamud, Jacob Goldberger, Ido Dagan |
| 2016 | EMNLP | Porting an Open Information Extraction System from English to German. | Tobias Falke, Gabriel Stanovsky, Iryna Gurevych, Ido Dagan |
| 2016 | EMNLP | Creating a Large Benchmark for Open Information Extraction. | Gabriel Stanovsky, Ido Dagan |
| 2016 | LREC | The Negochat Corpus of Human-agent Negotiation Dialogues. | Vasily Konovalov, Ron Artstein, Oren Melamud, Ido Dagan |
| 2015 | ACL | Seed-Based Event Trigger Labeling: How far can event descriptions get us? | Ofer Bronstein, Ido Dagan, Qi Li, Heng Ji, Anette Frank |
| 2015 | ACL | Open IE as an Intermediate Structure for Semantic Tasks. | Gabriel Stanovsky, Ido Dagan, Mausam |
| 2015 | CoNLL | Learning to Exploit Structured Resources for Lexical Inference. | Vered Shwartz, Omer Levy, Ido Dagan, Jacob Goldberger |
| 2015 | NAACL | Do Supervised Distributional Methods Really Learn Lexical Inference Relations? | Omer Levy, Steffen Remus, Chris Biemann, Ido Dagan |
| 2015 | NAACL | Modeling Word Meaning in Context with Substitute Vectors. | Oren Melamud, Ido Dagan, Jacob Goldberger |
| 2015 | NAACL | A Simple Word Embedding Model for Lexical Substitution. | Oren Melamud, Omer Levy, Ido Dagan |
| 2014 | ACL | Recognizing Implied Predicate-Argument Relationships in Textual Inference. | Asher Stern, Ido Dagan |
| 2014 | ACL | The Excitement Open Platform for Textual Inferences. | Bernardo Magnini, Roberto Zanoli, Ido Dagan, Kathrin Eichler, Guenter Neumann, Tae-Gil Noh, Sebastian Pad, Asher Stern, Omer Levy |
| 2014 | CoNLL | Focused Entailment Graphs for Open IE Propositions. | Omer Levy, Ido Dagan, Jacob Goldberger |
| 2014 | CoNLL | Probabilistic Modeling of Joint-context in Distributional Similarity. | Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor, Deniz Yuret |
| 2013 | ACL | Recognizing Partial Textual Entailment. | Omer Levy, Torsten Zesch, Ido Dagan, Iryna Gurevych |
| 2013 | ACL | A Two Level Model for Context Sensitive Inference Rules. | Oren Melamud, Jonathan Berant, Ido Dagan, Jacob Goldberger, Idan Szpektor |
| 2013 | ACL | Using Lexical Expansion to Learn Inference Rules from Sparse Data. | Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor |
| 2013 | ACL | PLIS: a Probabilistic Lexical Inference System. | Eyal Shnarch, Erel Segal-haLevi, Jacob Goldberger, Ido Dagan |
| 2013 | NAACL | TruthTeller: Annotating Predicate Truth. | Amnon Lotan, Asher Stern, Ido Dagan |
| 2013 | SPIRE | Consolidating and Exploring Information via Textual Inference. | Ido Dagan |
| 2012 | ACL | Entailment-based Text Exploration with Application to the Health-care Domain. | Meni Adler, Jonathan Berant, Ido Dagan |
| 2012 | ACL | Efficient Tree-based Approximation for Entailment Graph Learning. | Jonathan Berant, Ido Dagan, Meni Adler, Jacob Goldberger |
| 2012 | ACL | BIUTEE: A Modular Open-Source System for Recognizing Textual Entailment. | Asher Stern, Ido Dagan |
| 2012 | ACL | Efficient Search for Transformation-based Inference. | Asher Stern, Roni Stern, Ido Dagan, Ariel Felner |
| 2012 | ACL | Crowdsourcing Inference-Rule Evaluation. | Naomi Zeichner, Jonathan Berant, Ido Dagan |
| 2012 | EMNLP | Learning Verb Inference Rules from Linguistically-Motivated Evidence. | Hila Weisman, Jonathan Berant, Idan Szpektor, Ido Dagan |
| 2011 | ACL | Global Learning of Typed Entailment Rules. | Jonathan Berant, Ido Dagan, Jacob Goldberger |
| 2011 | ACL | A Probabilistic Modeling Framework for Lexical Entailment. | Eyal Shnarch, Jacob Goldberger, Ido Dagan |
| 2011 | EMNLP | Classification-based Contextual Preferences. | Shachar Mirkin, Ido Dagan, Lili Kotlerman, Idan Szpektor |
| 2011 | EMNLP | Towards a Probabilistic Model for Lexical Entailment. | Eyal Shnarch, Jacob Goldberger, Ido Dagan |
| 2011 | RANLP | A Support Tool for Deriving Domain Taxonomies from Wikipedia. | Lili Kotlerman, Zemer Avital, Ido Dagan, Amnon Lotan, Ofer Weintraub |
| 2011 | RANLP | A Confidence Model for Syntactically-Motivated Entailment Proofs. | Asher Stern, Ido Dagan |
| 2010 | ACL | Generating Entailment Rules from FrameNet. | Roni Ben Aharon, Idan Szpektor, Ido Dagan |
| 2010 | ACL | Global Learning of Focused Entailment Graphs. | Jonathan Berant, Ido Dagan, Jacob Goldberger |
| 2010 | ACL | Assessing the Role of Discourse References in Entailment Inference. | Shachar Mirkin, Ido Dagan, Sebastian Pad |
| 2010 | COLING | Recognising Entailment within Discourse. | Shachar Mirkin, Jonathan Berant, Ido Dagan, Eyal Shnarch |
| 2010 | LREC | A Resource for Investigating the Impact of Anaphora and Coreference on Inference. | Azad Abad, Luisa Bentivogli, Ido Dagan, Danilo Giampiccolo, Shachar Mirkin, Emanuele Pianta, Asher Stern |
| 2010 | LREC | Building Textual Entailment Specialized Data Sets: a Methodology for Isolating Linguistic Phenomena Relevant to Inference. | Luisa Bentivogli, Elena Cabrio, Ido Dagan, Danilo Giampiccolo, Medea Lo Leggio, Bernardo Magnini |
| 2009 | ACL | Directional Distributional Similarity for Lexical Expansion. | Lili Kotlerman, Ido Dagan, Idan Szpektor, Maayan Zhitomirsky-Geffet |
| 2009 | ACL | Source-Language Entailment Modeling for Translating Unknown Terms. | Shachar Mirkin, Lucia Specia, Nicola Cancedda, Ido Dagan, Marc Dymetman, Idan Szpektor |
| 2009 | ACL | Extracting Lexical Reference Rules from Wikipedia. | Eyal Shnarch, Libby Barak, Ido Dagan |
| 2009 | ACL | Augmenting WordNet-based Inference with Argument Mapping. | Idan Szpektor, Ido Dagan |
| 2009 | EACL | Evaluating the Inferential Utility of Lexical-Semantic Resources. | Shachar Mirkin, Ido Dagan, Eyal Shnarch |
| 2009 | EMNLP | A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules. | Roy Bar-Haim, Jonathan Berant, Ido Dagan |
| 2009 | NAACL | Text Categorization from Category Name via Lexical Reference. | Libby Barak, Ido Dagan, Eyal Shnarch |
| 2008 | ACL | Contextual Preferences. | Idan Szpektor, Ido Dagan, Roy Bar-Haim, Jacob Goldberger |
| 2008 | CICLING | Natural Language as the Basis for Meaning Representation and Inference. | Ido Dagan, Roy Bar-Haim, Idan Szpektor, Iddo Greental, Eyal Shnarch |
| 2008 | COLING | Learning Entailment Rules for Unary Templates. | Idan Szpektor, Ido Dagan |
| 2007 | AAAI | Semantic Inference at the Lexical-Syntactic Level. | Roy Bar-Haim, Ido Dagan, Iddo Greental, Eyal Shnarch |
| 2007 | ACL | Semantic Inference at the Lexical-Syntactic Level for Textual Entailment Recognition. | Roy Bar-Haim, Ido Dagan, Iddo Greental, Idan Szpektor, Moshe Friedman |
| 2007 | ACL | The Third PASCAL Recognizing Textual Entailment Challenge. | Danilo Giampiccolo, Bernardo Magnini, Ido Dagan, Bill Dolan |
| 2007 | ACL | Instance-based Evaluation of Entailment Rule Acquisition. | Idan Szpektor, Eyal Shnarch, Ido Dagan |
| 2006 | ACL | Direct Word Sense Matching for Lexical Substitution. | Ido Dagan, Oren Glickman, Alfio Massimiliano Gliozzo, Efrat Marmorshtein, Carlo Strapparava |
| 2006 | ACL | Integrating Pattern-Based and Distributional Similarity Methods for Lexical Entailment Acquisition. | Shachar Mirkin, Ido Dagan, Maayan Geffet |
| 2006 | CoNLL | Investigating Lexical Substitution Scoring for Subtitle Generation. | Oren Glickman, Ido Dagan, Walter Daelemans, Mikaela Keller, Samy Bengio |
| 2006 | EACL | Investigating a Generic Paraphrase-Based Approach for Relation Extraction. | Lorenza Romano, Milen Kouylekov, Idan Szpektor, Ido Dagan, Alberto Lavelli |
| 2006 | EMNLP | Lexical Reference: a Semantic Matching Subtask. | Oren Glickman, Eyal Shnarch, Ido Dagan |
| 2005 | AAAI | A Probabilistic Classification Approach for Lexical Textual Entailment. | Oren Glickman, Ido Dagan, Moshe Koppel |
| 2005 | ACL | The Distributional Inclusion Hypotheses and Lexical Entailment. | Maayan Geffet, Ido Dagan |
| 2005 | ACL | A Probabilistic Setting and Lexical Coocurrence Model for Textual Entailment. | Oren Glickman, Ido Dagan |
| 2005 | IJCAI | A Probabilistic Lexical Approach to Textual Entailment. | Oren Glickman, Ido Dagan, Moshe Koppel |
| 2005 | NAACL | Investigating Unsupervised Learning for Text Categorization Bootstrapping. | Alfio Massimiliano Gliozzo, Carlo Strapparava, Ido Dagan |
| 2005 | NAACL | A Generalized Framework for Revealing Analogous Themes across Related Topics. | Zvika Marx, Ido Dagan, Eli Shamir |
| 2004 | COLING | Feature Vector Quality and Distributional Similarity. | Maayan Geffet, Ido Dagan |
| 2004 | EMNLP | Scaling Web-based Acquisition of Entailment Relations. | Idan Szpektor, Hristo Tanev, Ido Dagan, Bonaventura Coppola |
| 2003 | RANLP | Acquiring lexical paraphrases from a single corpus. | Oren Glickman, Ido Dagan |
| 2002 | CoNLL | Cross-dataset Clustering: Revealing Corresponding Themes across Multiple Corpora. | Ido Dagan, Zvika Marx, Eli Shamir |
| 2001 | ICML | Coupled Clustering: a Method for Detecting Structural Correspondence. | Zvika Marx, Ido Dagan, Joachim M. Buhmann |
| 2000 | ACL | Incorporating Compositional Evidence in Memory-Based Partial Parsing. | Yuval Krymolowski, Ido Dagan |
| 1998 | ACL | A Memory-Based Approach to Learning Shallow Natural Language Patterns. | Shlomo Argamon, Ido Dagan, Yuval Krymolowski |
| 1997 | ACL | Similarity-Based Methods for Word Sense Disambiguation. | Ido Dagan, Lillian Lee, Fernando C. N. Pereira |
| 1997 | EMNLP | Mistake-Driven Learning in Text Categorization. | Ido Dagan, Yael Karov, Dan Roth |
| 1996 | ACL | Minimizing Manual Annotation Cost in Supervised Training from Corpora. | Sean P. Engelson, Ido Dagan |
| 1995 | ICML | Committee-Based Sampling For Training Probabilistic Classifiers. | Ido Dagan, Sean P. Engelson |
| 1995 | IJCAI | Sample selection in natural language learning. | Sean P. Engelson, Ido Dagan |
| 1995 | KDD | Knowledge Discovery in Textual Databases (KDT). | Ronen Feldman, Ido Dagan |
| 1994 | ACL | Similarity-Based Estimation of Word Cooccurrence Probabilities. | Ido Dagan, Fernando C. N. Pereira, Lillian Lee |
| 1993 | ACL | Contextual Word Similarity and Estimation from Sparse Data. | Ido Dagan, Shaul Marcus, Shaul Markovitch |
| 1992 | COLING | Automatic Translation Of Noun Compounds. | Ulrike Rackow, Ido Dagan, Ulrike Schwall |
| 1991 | ACL | Lexical Disambiguation: Sources of Information and their Statistical Realization. | Ido Dagan |
| 1991 | ACL | Two Languages Are More Informative Than One. | Ido Dagan, Alon Itai, Ulrike Schwall |
| 1990 | COLING | Automatic Processing of Large Corpora for the Resolution of Anaphora References. | Ido Dagan, Alon Itai |