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2020 – today
- 2024
[c178]Aviv Slobodkin, Eran Hirsch, Arie Cattan, Tal Schuster, Ido Dagan:
Attribute First, then Generate: Locally-attributable Grounded Text Generation. ACL (1) 2024: 3309-3344- [c177]Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan:
The Power of Summary-Source Alignments. ACL (Findings) 2024: 6527-6548 - [c176]Paul Roit, Aviv Slobodkin, Eran Hirsch, Arie Cattan, Ayal Klein, Valentina Pyatkin, Ido Dagan:
Explicating the Implicit: Argument Detection Beyond Sentence Boundaries. ACL (1) 2024: 16394-16409 - [c175]Omer Goldman, Alon Jacovi, Aviv Slobodkin, Aviya Maimon, Ido Dagan, Reut Tsarfaty:
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP. EMNLP 2024: 16576-16586 - [c174]Aviv Slobodkin, Ori Shapira, Ran Levy, Ido Dagan:
Multi-Review Fusion-in-Context. NAACL-HLT (Findings) 2024: 3003-3021 - [i82]Aviv Slobodkin, Ori Shapira, Ran Levy, Ido Dagan:
Multi-Review Fusion-in-Context. CoRR abs/2403.15351 (2024) - [i81]Aviv Slobodkin, Eran Hirsch, Arie Cattan, Tal Schuster, Ido Dagan:
Attribute First, then Generate: Locally-attributable Grounded Text Generation. CoRR abs/2403.17104 (2024) - [i80]Lotem Golany, Filippo Galgani, Maya Mamo, Nimrod Parasol, Omer Vandsburger, Nadav Bar, Ido Dagan:
Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts. CoRR abs/2405.01121 (2024) - [i79]Chen Huang, Yang Deng
, Wenqiang Lei, Jiancheng Lv, Ido Dagan:
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model. CoRR abs/2405.12081 (2024) - [i78]Valentina Pyatkin, Bonnie Webber, Ido Dagan, Reut Tsarfaty:
Superlatives in Context: Explicit and Implicit Domain Restrictions for Superlative Frames. CoRR abs/2405.20967 (2024) - [i77]Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan:
The Power of Summary-Source Alignments. CoRR abs/2406.00842 (2024) - [i76]Omri Berkovitch, Sapir Caduri, Noam Kahlon, Anatoly Efros, Avi Caciularu, Ido Dagan:
Identifying User Goals from UI Trajectories. CoRR abs/2406.14314 (2024) - [i75]Omer Goldman, Alon Jacovi, Aviv Slobodkin, Aviya Maimon, Ido Dagan, Reut Tsarfaty:
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP. CoRR abs/2407.00402 (2024) - [i74]Paul Roit, Aviv Slobodkin, Eran Hirsch, Arie Cattan, Ayal Klein, Valentina Pyatkin, Ido Dagan:
Explicating the Implicit: Argument Detection Beyond Sentence Boundaries. CoRR abs/2408.04246 (2024) - 2023
- [j33]Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, Reut Tsarfaty, Ido Dagan, Vera Demberg:
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design. Trans. Assoc. Comput. Linguistics 11: 1014-1032 (2023) - [c173]Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan:
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. ACL (1) 2023: 1970-1989 - [c172]Eran Hirsch, Valentina Pyatkin, Ruben Wolhandler, Avi Caciularu, Asi Shefer, Ido Dagan:
Revisiting Sentence Union Generation as a Testbed for Text Consolidation. ACL (Findings) 2023: 7038-7058 - [c171]Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan:
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. EMNLP (Demos) 2023: 403-412 - [c170]Aviv Slobodkin, Niv Nachum, Shmuel Amar, Ori Shapira, Ido Dagan:
SummHelper: Collaborative Human-Computer Summarization. EMNLP (Demos) 2023: 554-565 - [c169]Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat:
Optimizing Retrieval-augmented Reader Models via Token Elimination. EMNLP 2023: 1506-1524 - [c168]Shmuel Amar, Liat Schiff, Ori Ernst, Asi Shefer, Ori Shapira, Ido Dagan:
OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization. EMNLP 2023: 1967-1991 - [c167]Aviv Slobodkin, Omer Goldman, Avi Caciularu, Ido Dagan, Shauli Ravfogel:
The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models. EMNLP 2023: 3607-3625 - [c166]Aviv Slobodkin, Avi Caciularu, Eran Hirsch, Ido Dagan:
Don't Add, don't Miss: Effective Content Preserving Generation from Pre-Selected Text Spans. EMNLP (Findings) 2023: 12784-12800 - [c165]Ori Ernst, Ori Shapira, Ido Dagan, Ran Levy:
Re-Examining Summarization Evaluation across Multiple Quality Criteria. EMNLP (Findings) 2023: 13829-13838 - [i73]Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, Reut Tsarfaty, Ido Dagan, Vera Demberg:
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design. CoRR abs/2304.00815 (2023) - [i72]Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan:
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. CoRR abs/2305.15387 (2023) - [i71]Eran Hirsch, Valentina Pyatkin, Ruben Wolhandler, Avi Caciularu, Asi Shefer, Ido Dagan:
Revisiting Sentence Union Generation as a Testbed for Text Consolidation. CoRR abs/2305.15605 (2023) - [i70]Aviv Slobodkin, Niv Nachum, Shmuel Amar, Ori Shapira, Ido Dagan:
SummHelper: Collaborative Human-Computer Summarization. CoRR abs/2308.08363 (2023) - [i69]Aviv Slobodkin, Avi Caciularu, Eran Hirsch, Ido Dagan:
Dont Add, dont Miss: Effective Content Preserving Generation from Pre-Selected Text Spans. CoRR abs/2310.09017 (2023) - [i68]Aviv Slobodkin, Omer Goldman, Avi Caciularu, Ido Dagan, Shauli Ravfogel:
The Curious Case of Hallucinatory Unanswerablity: Finding Truths in the Hidden States of Over-Confident Large Language Models. CoRR abs/2310.11877 (2023) - [i67]Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat:
Optimizing Retrieval-augmented Reader Models via Token Elimination. CoRR abs/2310.13682 (2023) - [i66]Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan:
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. CoRR abs/2311.11301 (2023) - [i65]Shmuel Amar, Liat Schiff, Ori Ernst, Asi Shefer, Ori Shapira, Ido Dagan:
OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization. CoRR abs/2312.04440 (2023) - 2022
- [j32]Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou:
Infrastructure for Rapid Open Knowledge Network Development. AI Mag. 43(1): 59-68 (2022) - [c164]Alon Eirew, Avi Caciularu, Ido Dagan:
Cross-document Event Coreference Search: Task, Dataset and Modeling. EMNLP 2022: 900-913 - [c163]Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, Ido Dagan:
Controlled Text Reduction. EMNLP 2022: 5699-5715 - [c162]Ruben Wolhandler, Arie Cattan, Ori Ernst, Ido Dagan:
How "Multi" is Multi-Document Summarization? EMNLP 2022: 5761-5769 - [c161]Ayal Klein, Eran Hirsch, Ron Eliav, Valentina Pyatkin, Avi Caciularu, Ido Dagan:
QASem Parsing: Text-to-text Modeling of QA-based Semantics. EMNLP 2022: 7742-7756 - [c160]Merel C. J. Scholman, Valentina Pyatkin, Frances Yung, Ido Dagan, Reut Tsarfaty, Vera Demberg:
Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and Training. LREC 2022: 2148-2156 - [c159]Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan:
Proposition-Level Clustering for Multi-Document Summarization. NAACL-HLT 2022: 1765-1779 - [c158]Daniela Brook Weiss, Paul Roit, Ori Ernst, Ido Dagan:
Extending Multi-Text Sentence Fusion Resources via Pyramid Annotations. NAACL-HLT 2022: 1854-1860 - [c157]Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Ido Dagan, Yael Amsterdamer:
Interactive Query-Assisted Summarization via Deep Reinforcement Learning. NAACL-HLT 2022: 2551-2568 - [c156]Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan:
Long Context Question Answering via Supervised Contrastive Learning. NAACL-HLT 2022: 2872-2879 - [c155]Ayal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat, Ido Dagan:
Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction. WASSA@ACL 2022: 104-112 - [i64]Ayal Klein, Eran Hirsch, Ron Eliav, Valentina Pyatkin, Avi Caciularu, Ido Dagan:
QASem Parsing: Text-to-text Modeling of QA-based Semantics. CoRR abs/2205.11413 (2022) - [i63]Alon Eirew, Avi Caciularu, Ido Dagan:
Cross-document Event Coreference Search: Task, Dataset and Modeling. CoRR abs/2210.12654 (2022) - [i62]Ruben Wolhandler, Arie Cattan, Ori Ernst, Ido Dagan:
How "Multi" is Multi-Document Summarization? CoRR abs/2210.12688 (2022) - [i61]Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, Ido Dagan:
Controlled Text Reduction. CoRR abs/2210.13449 (2022) - 2021
- [j31]Ofer Sabo, Yanai Elazar, Yoav Goldberg, Ido Dagan:
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes. Trans. Assoc. Comput. Linguistics 9: 691-706 (2021) - [c154]Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan:
Cross-document Coreference Resolution over Predicted Mentions. ACL/IJCNLP (Findings) 2021: 5100-5107 - [c153]Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope:
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. AKBC 2021 - [c152]Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan:
Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline. CoNLL 2021: 310-322 - [c151]James Ravenscroft, Amanda Clare, Arie Cattan, Ido Dagan, Maria Liakata:
CD\^2CR: Co-reference resolution across documents and domains. EACL 2021: 270-280 - [c150]Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan:
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. EMNLP (Demos) 2021: 283-297 - [c149]Valentina Pyatkin, Paul Roit, Julian Michael, Yoav Goldberg, Reut Tsarfaty, Ido Dagan:
Asking It All: Generating Contextualized Questions for any Semantic Role. EMNLP (1) 2021: 1429-1441 - [c148]Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan:
CDLM: Cross-Document Language Modeling. EMNLP (Findings) 2021: 2648-2662 - [c147]Daniela Brook Weiss, Paul Roit, Ayal Klein, Ori Ernst, Ido Dagan:
QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions. EMNLP (1) 2021: 9879-9894 - [c146]Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Extending Multi-Document Summarization Evaluation to the Interactive Setting. NAACL-HLT 2021: 657-677 - [c145]Alon Eirew, Arie Cattan, Ido Dagan:
WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia. NAACL-HLT 2021: 2498-2510 - [c144]Ohad Rozen, Shmuel Amar, Vered Shwartz, Ido Dagan:
Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference. *SEM 2021: 89-98 - [c143]Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan:
Realistic Evaluation Principles for Cross-document Coreference Resolution. *SEM 2021: 143-151 - [c142]Avi Caciularu, Ido Dagan, Jacob Goldberger:
Denoising Word Embeddings by Averaging in a Shared Space. *SEM 2021: 294-301 - [i60]Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan:
Cross-Document Language Modeling. CoRR abs/2101.00406 (2021) - [i59]James Ravenscroft, Arie Cattan, Amanda Clare, Ido Dagan, Maria Liakata:
CD2CR: Co-reference Resolution Across Documents and Domains. CoRR abs/2101.12637 (2021) - [i58]Alon Eirew, Arie Cattan, Ido Dagan:
WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia. CoRR abs/2104.05022 (2021) - [i57]Ofer Sabo, Yanai Elazar, Yoav Goldberg, Ido Dagan:
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes. CoRR abs/2104.08481 (2021) - [i56]Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope:
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. CoRR abs/2104.08809 (2021) - [i55]Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan:
Cross-document Coreference Resolution over Predicted Mentions. CoRR abs/2106.01210 (2021) - [i54]Avi Caciularu, Ido Dagan, Jacob Goldberger:
Denoising Word Embeddings by Averaging in a Shared Space. CoRR abs/2106.02954 (2021) - [i53]Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan:
Realistic Evaluation Principles for Cross-document Coreference Resolution. CoRR abs/2106.04192 (2021) - [i52]Valentina Pyatkin, Paul Roit, Julian Michael, Reut Tsarfaty, Yoav Goldberg, Ido Dagan:
Asking It All: Generating Contextualized Questions for any Semantic Role. CoRR abs/2109.04832 (2021) - [i51]Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan:
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. CoRR abs/2109.11621 (2021) - [i50]Daniela Brook Weiss, Paul Roit, Ayal Klein, Ori Ernst, Ido Dagan:
QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions. CoRR abs/2109.12655 (2021) - [i49]Ori Shapira, Ramakanth Pasunuru, Ido Dagan, Yael Amsterdamer:
Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset. CoRR abs/2110.01073 (2021) - [i48]Daniela Brook Weiss, Paul Roit, Ori Ernst, Ido Dagan:
Extending Multi-Text Sentence Fusion Resources via Pyramid Annotations. CoRR abs/2110.04517 (2021) - [i47]Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan:
A Proposition-Level Clustering Approach for Multi-Document Summarization. CoRR abs/2112.08770 (2021) - [i46]Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan:
Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering. CoRR abs/2112.08777 (2021) - 2020
- [c141]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 - [c140]Ayal Klein, Jonathan Mamou, Valentina Pyatkin, Daniela Stepanov, Hangfeng He, Dan Roth, Luke Zettlemoyer, Ido Dagan:
QANom: Question-Answer driven SRL for Nominalizations. COLING 2020: 3069-3083 - [c139]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 - [c138]Aaron Bornstein, Arie Cattan, Ido Dagan:
CoRefi: A Crowd Sourcing Suite for Coreference Annotation. EMNLP (Demos) 2020: 205-215 - [c137]Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, Ido Dagan:
QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines. EMNLP (1) 2020: 2804-2819 - [c136]Oren Barkan, Avi Caciularu, Ido Dagan:
Within-Between Lexical Relation Classification. EMNLP (1) 2020: 3521-3527 - [c135]Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan:
Paraphrasing vs Coreferring: Two Sides of the Same Coin. EMNLP (Findings) 2020: 4897-4907 - [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) - [c134]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 - [c133]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 - [c132]Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan:
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. CoNLL 2019: 196-205 - [c131]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 - [c130]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 - [c129]Yevgeniy Puzikov, Claire Gardent, Ido Dagan, Iryna Gurevych:
Revisiting the Binary Linearization Technique for Surface Realization. INLG 2019: 268-278 - [c128]Amit Moryossef, Yoav Goldberg, Ido Dagan:
Improving Quality and Efficiency in Plan-based Neural Data-to-text Generation. INLG 2019: 377-382 - [c127]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 - [c126]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) - [c125]Vered Shwartz, Ido Dagan:
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations. ACL (1) 2018: 1200-1211 - [c124]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 - [c123]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 - [c122]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 - [c121]Gabriel Stanovsky, Ido Dagan:
Semantics as a Foreign Language. EMNLP 2018: 2412-2421 - [c120]Chaya Liebeskind, Ido Dagan, Jonathan Schler:
Automatic Thesaurus Construction for Modern Hebrew. LREC 2018 - [c119]Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer:
Crowdsourcing Question-Answer Meaning Representations. NAACL-HLT (2) 2018: 560-568 - [c118]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
- [c117]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 - [c116]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 - [c115]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 - [c114]Oren Melamud, Ido Dagan, Jacob Goldberger:
A Simple Language Model based on PMI Matrix Approximations. EMNLP 2017: 1860-1865 - [c113]Eugenio Martínez-Cámara, Vered Shwartz, Iryna Gurevych, Ido Dagan:
Neural Disambiguation of Causal Lexical Markers Based on Context. IWCS(2) 2017 - [c112]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) - [c111]Omer Levy, Ido Dagan:
Annotating Relation Inference in Context via Question Answering. ACL (2) 2016 - [c110]Vered Shwartz, Yoav Goldberg, Ido Dagan:
Improving Hypernymy Detection with an Integrated Path-based and Distributional Method. ACL (1) 2016 - [c109]Gabriel Stanovsky, Ido Dagan:
Annotating and Predicting Non-Restrictive Noun Phrase Modifications. ACL (1) 2016 - [c108]Gabriel Stanovsky, Ido Dagan, Meni Adler:
Specifying and Annotating Reduced Argument Span Via QA-SRL. ACL (2) 2016 - [c107]Vered Shwartz, Ido Dagan:
Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations. CogALex@COLING 2016: 24-29 - [c106]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 - [c105]Omer Levy, Ido Dagan, Gabriel Stanovsky, Judith Eckle-Kohler, Iryna Gurevych:
Modeling Extractive Sentence Intersection via Subtree Entailment. COLING 2016: 2891-2901 - [c104]Oren Melamud, Jacob Goldberger, Ido Dagan:
context2vec: Learning Generic Context Embedding with Bidirectional LSTM. CoNLL 2016: 51-61 - [c103]Tobias Falke, Gabriel Stanovsky, Iryna Gurevych, Ido Dagan:
Porting an Open Information Extraction System from English to German. EMNLP 2016: 892-898 - [c102]Gabriel Stanovsky, Ido Dagan:
Creating a Large Benchmark for Open Information Extraction. EMNLP 2016: 2300-2305 - [c101]Vasily Konovalov, Ron Artstein, Oren Melamud, Ido Dagan:
The Negochat Corpus of Human-agent Negotiation Dialogues. LREC 2016 - [c100]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) - [c99]Gabriel Stanovsky, Ido Dagan, Mausam:
Open IE as an Intermediate Structure for Semantic Tasks. ACL (2) 2015: 303-308 - [c98]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 - [c97]Vered Shwartz, Omer Levy, Ido Dagan, Jacob Goldberger:
Learning to Exploit Structured Resources for Lexical Inference. CoNLL 2015: 175-184 - [c96]Chaya Liebeskind, Ido Dagan:
Integrating Query Performance Prediction in Term Scoring for Diachronic Thesaurus. LaTeCH@ACL 2015: 89-94 - [c95]Oren Melamud, Omer Levy, Ido Dagan:
A Simple Word Embedding Model for Lexical Substitution. VS@HLT-NAACL 2015: 1-7 - [c94]Oren Melamud, Ido Dagan, Jacob Goldberger:
Modeling Word Meaning in Context with Substitute Vectors. HLT-NAACL 2015: 472-482 - [c93]Omer Levy, Steffen Remus, Chris Biemann, Ido Dagan:
Do Supervised Distributional Methods Really Learn Lexical Inference Relations? HLT-NAACL 2015: 970-976 - [c92]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
- [c91]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 - [c90]Asher Stern, Ido Dagan:
Recognizing Implied Predicate-Argument Relationships in Textual Inference. ACL (2) 2014: 739-744 - [c89]Roy Bar-Haim, Ido Dagan, Idan Szpektor:
Benchmarking Applied Semantic Inference: The PASCAL Recognising Textual Entailment Challenges. Language, Culture, Computation (1) 2014: 409-424 - [c88]Omer Levy, Ido Dagan, Jacob Goldberger:
Focused Entailment Graphs for Open IE Propositions. CoNLL 2014: 87-97 - [c87]Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor, Deniz Yuret:
Probabilistic Modeling of Joint-context in Distributional Similarity. CoNLL 2014: 181-190 - [c86]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) - [c85]Eyal Shnarch, Erel Segal-haLevi, Jacob Goldberger, Ido Dagan:
PLIS: a Probabilistic Lexical Inference System. ACL (Conference System Demonstrations) 2013: 97-102 - [c84]Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor:
Using Lexical Expansion to Learn Inference Rules from Sparse Data. ACL (2) 2013: 283-288 - [c83]Omer Levy, Torsten Zesch, Ido Dagan, Iryna Gurevych:
Recognizing Partial Textual Entailment. ACL (2) 2013: 451-455 - [c82]Oren Melamud, Jonathan Berant, Ido Dagan, Jacob Goldberger, Idan Szpektor:
A Two Level Model for Context Sensitive Inference Rules. ACL (1) 2013: 1331-1340 - [c81]Ido Dagan, Bernardo Magnini:
Entailment graphs for text exploration. JSSP 2013: 5 - [c80]Chaya Liebeskind, Ido Dagan, Jonathan Schler:
Semi-automatic Construction of Cross-period Thesaurus. LaTeCH@ACL 2013: 29-35 - [c79]Ido Dagan, Bernardo Magnini, Guenter Neumann, Sebastian Padó:
Bridges Across the Language Divide - EU-BRIDGE Excitement: Exploring Customer Interactions through Textual EntailMENT. MTSummit (European projects) 2013 - [c78]Ido Dagan, Bernardo Magnini, Guenter Neumann, Sebastian Padó:
Excitement: Exploring Customer Interactions through Textual EntailMENT. MTSummit (European projects) 2013 - [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 (2) 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 (2) 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]Alfio Massimiliano Gliozzo, Carlo Strapparava, Ido Dagan:
Improving text categorization bootstrapping via unsupervised learning. ACM Trans. Speech Lang. Process. 6(1): 1:1-1:24 (2009) - [c51]Idan Szpektor, Ido Dagan:
Augmenting WordNet-based Inference with Argument Mapping. TextInfer@ACL 2009: 27-35 - [c50]Lili Kotlerman, Ido Dagan, Idan Szpektor, Maayan Zhitomirsky-Geffet:
Directional Distributional Similarity for Lexical Expansion. ACL/IJCNLP (2) 2009: 69-72 - [c49]Eyal Shnarch, Libby Barak, Ido Dagan:
Extracting Lexical Reference Rules from Wikipedia. ACL/IJCNLP 2009: 450-458 - [c48]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 - [c47]Shachar Mirkin, Ido Dagan, Eyal Shnarch:
Evaluating the Inferential Utility of Lexical-Semantic Resources. EACL 2009: 558-566 - [c46]Roy Bar-Haim, Jonathan Berant, Ido Dagan:
A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules. EMNLP 2009: 1056-1065 - [c45]Ido Dagan:
It's time for a semantic inference engine. IWCS 2009: 1 - [c44]Libby Barak, Ido Dagan, Eyal Shnarch:
Text Categorization from Category Name via Lexical Reference. HLT-NAACL (Short Papers) 2009: 33-36 - [e6]Chris Callison-Burch, Ido Dagan, Christopher D. Manning, Marco Pennacchiotti, Fabio Massimo Zanzotto:
Proceedings of the 2009 Workshop on Applied Textual Inference, TextInfer@ACL 2009, Suntec, Singapore, August 6, 2009. Association for Computational Linguistics 2009, ISBN 978-1-932432-48-0 [contents] - [i14]Luisa Bentivogli, Bernardo Magnini, Ido Dagan, Hoa Trang Dang, Danilo Giampiccolo:
The Fifth PASCAL Recognizing Textual Entailment Challenge. TAC 2009 - [i13]Shachar Mirkin, Roy Bar-Haim, Ido Dagan, Eyal Shnarch, Asher Stern, Idan Szpektor, Jonathan Berant:
Addressing Discourse and Document Structure in the RTE Search Task. TAC 2009 - 2008
- [c43]Idan Szpektor, Ido Dagan, Roy Bar-Haim, Jacob Goldberger:
Contextual Preferences. ACL 2008: 683-691 - [c42]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 - [c41]Idan Szpektor, Ido Dagan:
Learning Entailment Rules for Unary Templates. COLING 2008: 849-856 - [i12]Roy Bar-Haim, Ido Dagan, Shachar Mirkin, Eyal Shnarch, Idan Szpektor, Jonathan Berant, Iddo Greental:
Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests. TAC 2008 - [i11]Danilo Giampiccolo, Hoa Trang Dang, Bernardo Magnini, Ido Dagan, Elena Cabrio, Bill Dolan:
The Fourth PASCAL Recognizing Textual Entailment Challenge. TAC 2008 - 2007
- [c40]Roy Bar-Haim, Ido Dagan, Iddo Greental, Eyal Shnarch:
Semantic Inference at the Lexical-Syntactic Level. AAAI 2007: 871-876 - [c39]Danilo Giampiccolo, Bernardo Magnini, Ido Dagan, Bill Dolan:
The Third PASCAL Recognizing Textual Entailment Challenge. ACL-PASCAL@ACL 2007: 1-9 - [c38]Roy Bar-Haim, Ido Dagan, Iddo Greental, Idan Szpektor, Moshe Friedman:
Semantic Inference at the Lexical-Syntactic Level for Textual Entailment Recognition. ACL-PASCAL@ACL 2007: 131-136 - [c37]Idan Szpektor, Eyal Shnarch, Ido Dagan:
Instance-based Evaluation of Entailment Rule Acquisition. ACL 2007 - [c36]Idan Szpektor, Ido Dagan, Alon Lavie, Danny Shacham, Shuly Wintner:
Cross Lingual and Semantic Retrieval for Cultural Heritage Appreciation. LaTeCH@ACL 2007 2007: 65-72 - [e5]Satoshi Sekine, Kentaro Inui, Ido Dagan, Bill Dolan, Danilo Giampiccolo, Bernardo Magnini:
Proceedings of the ACL-PASCAL@ACL 2007 Workshop on Textual Entailment and Paraphrasing, Prague, Czech Republic, June 28-29, 2007. Association for Computational Linguistics 2007 [contents] - 2006
- [j13]Moshe Koppel, Navot Akiva, Ido Dagan:
Feature instability as a criterion for selecting potential style markers. J. Assoc. Inf. Sci. Technol. 57(11): 1519-1525 (2006) - [c35]Ido Dagan, Oren Glickman, Alfio Massimiliano Gliozzo, Efrat Marmorshtein, Carlo Strapparava:
Direct Word Sense Matching for Lexical Substitution. ACL 2006 - [c34]Shachar Mirkin, Ido Dagan, Maayan Geffet:
Integrating Pattern-Based and Distributional Similarity Methods for Lexical Entailment Acquisition. ACL 2006 - [c33]Oren Glickman, Ido Dagan, Walter Daelemans, Mikaela Keller, Samy Bengio:
Investigating Lexical Substitution Scoring for Subtitle Generation. CoNLL 2006: 45-52 - [c32]Lorenza Romano, Milen Kouylekov, Idan Szpektor, Ido Dagan, Alberto Lavelli:
Investigating a Generic Paraphrase-Based Approach for Relation Extraction. EACL 2006 - [c31]Oren Glickman, Eyal Shnarch, Ido Dagan:
Lexical Reference: a Semantic Matching Subtask. EMNLP 2006: 172-179 - [e4]Joaquin Quiñonero Candela, Ido Dagan, Bernardo Magnini, Florence d'Alché-Buc:
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 [contents] - 2005
- [c30]Oren Glickman, Ido Dagan, Moshe Koppel:
A Probabilistic Classification Approach for Lexical Textual Entailment. AAAI 2005: 1050-1055 - [c29]Oren Glickman, Ido Dagan:
A Probabilistic Setting and Lexical Coocurrence Model for Textual Entailment. EMSEE@ACL 2005: 43-48 - [c28]Maayan Geffet, Ido Dagan:
The Distributional Inclusion Hypotheses and Lexical Entailment. ACL 2005: 107-114 - [c27]Oren Glickman, Ido Dagan, Moshe Koppel:
A Probabilistic Lexical Approach to Textual Entailment. IJCAI 2005: 1682-1683 - [c26]Ido Dagan, Oren Glickman, Bernardo Magnini:
The PASCAL Recognising Textual Entailment Challenge. MLCW 2005: 177-190 - [c25]Oren Glickman, Ido Dagan, Moshe Koppel:
A Lexical Alignment Model for Probabilistic Textual Entailment. MLCW 2005: 287-298 - [c24]Alfio Massimiliano Gliozzo, Carlo Strapparava, Ido Dagan:
Investigating Unsupervised Learning for Text Categorization Bootstrapping. HLT/EMNLP 2005: 129-136 - [c23]Zvika Marx, Ido Dagan, Eli Shamir:
A Generalized Framework for Revealing Analogous Themes across Related Topics. HLT/EMNLP 2005: 979-986 - [e3]Bill Dolan, Ido Dagan:
Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment@ACL 2005, Ann Arbor, Michigan, USA, June 30, 2005. Association for Computational Linguistics 2005 [contents] - [e2]Ido Dagan, Daniel Gildea:
Proceedings of the Ninth Conference on Computational Natural Language Learning, CoNLL 2005, Ann Arbor, Michigan, USA, June 29-30, 2005. ACL 2005 [contents] - 2004
- [j12]Alfio Massimiliano Gliozzo, Carlo Strapparava, Ido Dagan:
Unsupervised and supervised exploitation of semantic domains in lexical disambiguation. Comput. Speech Lang. 18(3): 275-299 (2004) - [c22]Maayan Geffet, Ido Dagan:
Feature Vector Quality and Distributional Similarity. COLING 2004 - [c21]Idan Szpektor, Hristo Tanev, Ido Dagan, Bonaventura Coppola:
Scaling Web-based Acquisition of Entailment Relations. EMNLP 2004: 41-48 - 2003
- [c20]Zvika Marx, Ido Dagan, Eli Shamir:
Identifying Structure across Pre-partitioned Data. NIPS 2003: 489-496 - [c19]Oren Glickman, Ido Dagan:
Acquiring lexical paraphrases from a single corpus. RANLP 2003: 81-90 - [i10]Oren Glickman, Ido Dagan:
Acquiring Lexical Paraphrases from a Single Corpus. CoRR cs.CL/0312058 (2003) - 2002
- [j11]Zvika Marx, Ido Dagan, Joachim M. Buhmann, Eli Shamir:
Coupled Clustering: A Method for Detecting Structural Correspondence. J. Mach. Learn. Res. 3: 747-780 (2002) - [c18]Ido Dagan, Zvika Marx, Eli Shamir:
Cross-dataset Clustering: Revealing Corresponding Themes across Multiple Corpora. CoNLL 2002 - 2001
- [c17]Zvika Marx, Ido Dagan, Joachim M. Buhmann:
Coupled Clustering: a Method for Detecting Structural Correspondence. ICML 2001: 353-360 - [i9]Zvika Marx, Ido Dagan, Joachim M. Buhmann:
Coupled Clustering: a Method for Detecting Structural Correspondence. CoRR cs.LG/0107032 (2001) - 2000
- [c16]Yuval Krymolowski, Ido Dagan:
Incorporating Compositional Evidence in Memory-Based Partial Parsing. ACL 2000: 53-60
1990 – 1999
- 1999
- [j10]Shlomo Argamon-Engelson, Ido Dagan:
Committee-Based Sample Selection for Probabilistic Classifiers. J. Artif. Intell. Res. 11: 335-360 (1999) - [j9]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) - [j8]Ido Dagan, Lillian Lee, Fernando C. N. Pereira:
Similarity-Based Models of Word Cooccurrence Probabilities. Mach. Learn. 34(1-3): 43-69 (1999) - [i8]Zvika Marx, Ido Dagan, Eli Shamir:
Detecting Sub-Topic Correspondence through Bipartite Term Clustering. CoRR cs.CL/9908001 (1999) - 1998
- [j7]Ronen Feldman, Ido Dagan, Haym Hirsh:
Mining Text Using Keyword Distributions. J. Intell. Inf. Syst. 10(3): 281-300 (1998) - [c15]Shlomo Argamon, Ido Dagan, Yuval Krymolowski:
A Memory-Based Approach to Learning Shallow Natural Language Patterns. COLING-ACL 1998: 67-73 - [i7]Shlomo Argamon, Ido Dagan, Yuval Krymolowski:
A Memory-Based Approach to Learning Shallow Natural Language Patterns. CoRR cmp-lg/9806011 (1998) - [i6]Ido Dagan, Lillian Lee, Fernando C. N. Pereira:
Similarity-Based Models of Word Cooccurrence Probabilities. CoRR cs.CL/9809110 (1998) - 1997
- [j6]Ido Dagan, Kenneth Ward Church:
Termight: Coordinating Humans and Machines in Bilingual Terminology Acquisition. Mach. Transl. 12(1-2): 89-107 (1997) - [c14]Ido Dagan, Lillian Lee, Fernando C. N. Pereira:
Similarity-Based Methods for Word Sense Disambiguation. ACL 1997: 56-63 - [c13]Ido Dagan, Yael Karov, Dan Roth:
Mistake-Driven Learning in Text Categorization. EMNLP 1997 - [i5]Ido Dagan, Yael Karov, Dan Roth:
Mistake-Driven Learning in Text Categorization. CoRR cmp-lg/9706006 (1997) - [i4]Ido Dagan, Lillian Lee, Fernando C. N. Pereira:
Similarity-Based Methods For Word Sense Disambiguation. CoRR cmp-lg/9708010 (1997) - 1996
- [c12]Sean P. Engelson, Ido Dagan:
Minimizing Manual Annotation Cost in Supervised Training from Corpora. ACL 1996: 319-326 - [e1]Eva I. Ejerhed, Ido Dagan:
Fourth Workshop on Very Large Corpora, VLC@COLING 1996, Copenhagen, Denmark, August 4, 1996. 1996 [contents] - [i3]Sean P. Engelson, Ido Dagan:
Minimizing Manual Annotation Cost In Supervised Training From Corpora. CoRR cmp-lg/9606030 (1996) - 1995
- [j5]Ido Dagan, John S. Justeson, Shalom Lappin, Herbert J. Leass, Amnon Ribak:
Syntax and lexical statistics in Anaphora. Appl. Artif. Intell. 9(6): 633-644 (1995) - [j4]Ido Dagan, Shaul Marcus, Shaul Markovitch:
Contextual word similarity and estimation from sparse data. Comput. Speech Lang. 9(2): 123-152 (1995) - [c11]Ido Dagan, Sean P. Engelson:
Committee-Based Sampling For Training Probabilistic Classifiers. ICML 1995: 150-157 - [c10]Sean P. Engelson, Ido Dagan:
Sample selection in natural language learning. Learning for Natural Language Processing 1995: 230-245 - [c9]Ronen Feldman, Ido Dagan:
Knowledge Discovery in Textual Databases (KDT). KDD 1995: 112-117 - 1994
- [j3]Ido Dagan, Alon Itai:
Word Sense Disambiguation Using a Second Language Monolingual Corpus. Comput. Linguistics 20(4): 563-596 (1994) - [c8]Ido Dagan, Fernando C. N. Pereira, Lillian Lee:
Similarity-Based Estimation of Word Cooccurrence Probabilities. ACL 1994: 272-278 - [c7]Ido Dagan, Kenneth Ward Church:
Termight: Identifying and Translating Technical Terminology. ANLP 1994: 34-40 - [i2]Ido Dagan, Fernando C. N. Pereira, Lillian Lee:
Similarity-Based Estimation of Word Cooccurrence Probabilities. CoRR abs/cmp-lg/9405001 (1994) - 1993
- [c6]Ido Dagan, Shaul Marcus, Shaul Markovitch:
Contextual Word Similarity and Estimation from Sparse Data. ACL 1993: 164-171 - [c5]Ido Dagan, Kenneth Ward Church, Willian Gale:
Robust Bilingual Word Alignment for Machine Aided Translation. VLC@ACL 1993 - 1992
- [c4]Ulrike Rackow, Ido Dagan, Ulrike Schwall:
Automatic Translation Of Noun Compounds. COLING 1992: 1249-1253 - [i1]Ulrike Rackow, Ido Dagan, Ulrike Schwall:
A Combined Symbolic-Empirical Apprach for the Automatic Translation of Compounds. IWBS Report 225 (1992) - 1991
- [j2]Ido Dagan, Alon Itai:
A set expression based inheritance system. Ann. Math. Artif. Intell. 4: 269-280 (1991) - [c3]Ido Dagan, Alon Itai, Ulrike Schwall:
Two Languages Are More Informative Than One. ACL 1991: 130-137 - [c2]Ido Dagan:
Lexical Disambiguation: Sources of Information and their Statistical Realization. ACL 1991: 341-342 - 1990
- [c1]Ido Dagan, Alon Itai:
Automatic Processing of Large Corpora for the Resolution of Anaphora References. COLING 1990: 330-332
1980 – 1989
- 1988
- [j1]Ido Dagan, Martin Charles Golumbic, Ron Y. Pinter:
Trapezoid graphs and their coloring. Discret. Appl. Math. 21(1): 35-46 (1988)
Coauthor Index
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