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2020 – today
- 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)- [c152]Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan:
Cross-document Coreference Resolution over Predicted Mentions. ACL/IJCNLP (Findings) 2021: 5100-5107 - [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]