Articles with public access mandates - Ido DaganLearn more
Available somewhere: 37
Improving distributional similarity with lessons learned from word embeddings
O Levy, Y Goldberg, I Dagan
Transactions of the association for computational linguistics 3, 211-225, 2015
Mandates: German Research Foundation
context2vec: Learning generic context embedding with bidirectional lstm
O Melamud, J Goldberger, I Dagan
Proceedings of the 20th SIGNLL conference on computational natural language …, 2016
Mandates: German Research Foundation
Supervised open information extraction
G Stanovsky, J Michael, L Zettlemoyer, I Dagan
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
Mandates: US National Science Foundation, German Research Foundation, Federal Ministry …
Ranking generated summaries by correctness: An interesting but challenging application for natural language inference
T Falke, LFR Ribeiro, PA Utama, I Dagan, I Gurevych
Proceedings of the 57th annual meeting of the association for computational …, 2019
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Do supervised distributional methods really learn lexical inference relations?
O Levy, S Remus, C Biemann, I Dagan
Proceedings of the 2015 Conference of the North American Chapter of the …, 2015
Mandates: German Research Foundation
Semeval-2013 task 7: The joint student response analysis and 8th recognizing textual entailment challenge
MO Dzikovska, R Nielsen, C Brew, C Leacock, D Giampiccolo, ...
Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013
Mandates: US Institute of Education Sciences
Creating a large benchmark for open information extraction
G Stanovsky, I Dagan
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
A simple word embedding model for lexical substitution
O Melamud, O Levy, I Dagan
Proceedings of the 1st workshop on vector space modeling for natural …, 2015
Mandates: German Research Foundation
Still a pain in the neck: Evaluating text representations on lexical composition
V Shwartz, I Dagan
Transactions of the Association for Computational Linguistics 7, 403-419, 2019
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Open ie as an intermediate structure for semantic tasks
G Stanovsky, I Dagan
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
Mandates: German Research Foundation
Modeling word meaning in context with substitute vectors
O Melamud, I Dagan, J Goldberger
Proceedings of the 2015 Conference of the North American Chapter of the …, 2015
Mandates: German Research Foundation
Integrating deep linguistic features in factuality prediction over unified datasets
G Stanovsky, J Eckle-Kohler, Y Puzikov, I Dagan, I Gurevych
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Controlled crowdsourcing for high-quality QA-SRL annotation
P Roit, A Klein, D Stepanov, J Mamou, J Michael, G Stanovsky, ...
arXiv preprint arXiv:1911.03243, 2019
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Annotating relation inference in context via question answering
O Levy, I Dagan
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
Mandates: German Research Foundation
Interactive abstractive summarization for event news tweets
O Shapira, H Ronen, M Adler, Y Amsterdamer, J Bar-Ilan, I Dagan
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
Mandates: US Department of Defense, German Research Foundation, Federal Ministry of …
Porting an open information extraction system from english to german
T Falke, G Stanovsky, I Gurevych, I Dagan
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
Mandates: German Research Foundation, Volkswagen Foundation, Federal Ministry of …
QANom: Question-answer driven SRL for nominalizations
A Klein, J Mamou, V Pyatkin, D Stepanov, H He, D Roth, L Zettlemoyer, ...
Proceedings of the 28th international conference on computational …, 2020
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Extending multi-document summarization evaluation to the interactive setting
O Shapira, R Pasunuru, H Ronen, M Bansal, Y Amsterdamer, I Dagan
Proceedings of the 2021 conference of the North American Chapter of the …, 2021
Mandates: US National Science Foundation, German Research Foundation, Federal Ministry …
Acquiring predicate paraphrases from news tweets
V Shwartz, G Stanovsky, I Dagan
Proceedings of the 6th Joint Conference on Lexical and Computational …, 2017
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
A consolidated open knowledge representation for multiple texts
R Wities, V Shwartz, G Stanovsky, M Adler, O Shapira, S Upadhyay, ...
Proceedings of the 2nd workshop on linking models of lexical, sentential and …, 2017
Mandates: US Department of Defense, German Research Foundation, Federal Ministry of …
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