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2020 – today
- 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)- [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 - [i61]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) - 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]