| 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 | 372 | 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 | 204 | 2018 |
| Evaluating gender bias in machine translation G Stanovsky, NA Smith, L Zettlemoyer arXiv preprint arXiv:1906.00591, 2019 | 186 | 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 | 114 | 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 | 69 | 2015 |
| Open IE as an Intermediate Structure for Semantic Tasks G Stanovsky, I Dagan, Mausam Association for Computational Linguistics, 303-308, 2015 | 69 | 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 | 65 | 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 | 58 | 2020 |
| Crowdsourcing question-answer meaning representations J Michael, G Stanovsky, L He, I Dagan, L Zettlemoyer arXiv preprint arXiv:1711.05885, 2017 | 52 | 2017 |
| Getting more out of syntax with props G Stanovsky, J Ficler, I Dagan, Y Goldberg arXiv preprint arXiv:1603.01648, 2016 | 50 | 2016 |
| 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 | 40 | 2017 |
| Evaluating question answering evaluation A Chen, G Stanovsky, S Singh, M Gardner Proceedings of the 2nd workshop on machine reading for question answering …, 2019 | 35 | 2019 |
| 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 | 33 | 2021 |
| Gender trends in computer science authorship LL Wang, G Stanovsky, L Weihs, O Etzioni Communications of the ACM 64 (3), 78-84, 2021 | 29 | 2021 |
| 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 |
| 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 | 21 | 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 | 21 | 2019 |
| Streamlining cross-document coreference resolution: Evaluation and modeling A Cattan, A Eirew, G Stanovsky, M Joshi, I Dagan arXiv preprint arXiv:2009.11032, 2020 | 20 | 2020 |
| MOCHA: A dataset for training and evaluating generative reading comprehension metrics A Chen, G Stanovsky, S Singh, M Gardner arXiv preprint arXiv:2010.03636, 2020 | 19 | 2020 |
| Acquiring predicate paraphrases from news tweets V Shwartz, G Stanovsky, I Dagan Proceedings of the 6th Joint Conference on Lexical and Computational …, 2017 | 18 | 2017 |
Ido DaganProfessor, Computer Science Department, Bar-Ilan UniversityVerified email at cs.biu.ac.il
