Gabriel Stanovsky

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i10-index	21	21

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Ido DaganProfessor, Computer Science Department, Bar-Ilan UniversityVerified email at cs.biu.ac.il
Luke ZettlemoyerUniversity of Washington; FacebookVerified email at cs.washington.edu
Julian MichaelUniversity of WashingtonVerified email at cs.washington.edu
Matt GardnerAllen Institute for Artificial IntelligenceVerified email at allenai.org
Sameer SinghAssociate Professor, University of California IrvineVerified email at uci.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Iryna GurevychProfessor of Computer Science, Technische Universität DarmstadtVerified email at cs.tu-darmstadt.de
Dheeru DuaUniversity of California, IrvineVerified email at uci.edu
Pradeep DasigiAllen Institute for AI (AI2)Verified email at allenai.org
Yizhong WangUniversity of WashingtonVerified email at cs.washington.edu
Roy SchwartzSenior lecturer, the School of Computer Science, the Hebrew University of JerusalemVerified email at mail.huji.ac.il
Yoav GoldbergProfessor, Bar Ilan UniversityVerified email at cs.biu.ac.il
Judith Eckle-KohlerVerified email at eckle-kohler.de
Mandar JoshiUniversity of Washington, SeattleVerified email at cs.washington.edu
Alon EirewBar Ilan University & Intel LabsVerified email at live.biu.ac.il
Arie CattanBar-Ilan UniversityVerified email at biu.ac.il
Anthony ChenUniversity of California, IrvineVerified email at uci.edu
Vered ShwartzUniversity of British ColumbiaVerified email at cs.ubc.ca
Daniel GruhlMIT, IBMVerified email at us.ibm.com
Pablo N. MendesResearch Scientist, Apple Inc.Verified email at apple.com

Gabriel Stanovsky

The Hebrew University of Jerusalem

Verified email at mail.huji.ac.il - Homepage

Computational Linguistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
DROP: A reading comprehension benchmark requiring discrete reasoning over paragraphs D Dua, Y Wang, P Dasigi, G Stanovsky, S Singh, M Gardner arXiv preprint arXiv:1903.00161, 2019	268	2019
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	151	2018
Evaluating gender bias in machine translation G Stanovsky, NA Smith, L Zettlemoyer arXiv preprint arXiv:1906.00591, 2019	126	2019
Creating a large benchmark for open information extraction G Stanovsky, I Dagan Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016	96	2016
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	60	2015
Open IE as an Intermediate Structure for Semantic Tasks G Stanovsky, I Dagan, Mausam Association for Computational Linguistics, 303-308, 2015	60	2015
Recognizing mentions of adverse drug reaction in social media using knowledge-infused recurrent models G Stanovsky, D Gruhl, P Mendes Proceedings of the 15th Conference of the European Chapter of the …, 2017	56	2017
Getting more out of syntax with props G Stanovsky, J Ficler, I Dagan, Y Goldberg arXiv preprint arXiv:1603.01648, 2016	44	2016
Crowdsourcing question-answer meaning representations J Michael, G Stanovsky, L He, I Dagan, L Zettlemoyer arXiv preprint arXiv:1711.05885, 2017	42	2017
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	36	2017
The right tool for the job: Matching model and instance complexities R Schwartz, G Stanovsky, S Swayamdipta, J Dodge, NA Smith arXiv preprint arXiv:2004.07453, 2020	34	2020
Evaluating question answering evaluation A Chen, G Stanovsky, S Singh, M Gardner Proceedings of the 2nd Workshop on Machine Reading for Question Answering …, 2019	24	2019
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	22	2016
Genie: A leaderboard for human-in-the-loop evaluation of text generation D Khashabi, G Stanovsky, J Bragg, N Lourie, J Kasai, Y Choi, NA Smith, ... arXiv preprint arXiv:2101.06561, 2021	19	2021
Gender trends in computer science authorship LL Wang, G Stanovsky, L Weihs, O Etzioni Communications of the ACM 64 (3), 78-84, 2021	18	2021
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	17	2019
Semeval-2019 task 10: math question answering M Hopkins, R Le Bras, C Petrescu-Prahova, G Stanovsky, H Hajishirzi, ... Proceedings of the 13th International Workshop on Semantic Evaluation, 893-899, 2019	17	2019
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	15	2017
Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling A Cattan, A Eirew, G Stanovsky, M Joshi, I Dagan arXiv preprint arXiv:2009.11032, 2020	13	2020
Acquiring predicate paraphrases from news tweets V Shwartz, G Stanovsky, I Dagan Proceedings of the 6th Joint Conference on Lexical and Computational …, 2017	13	2017

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