| Modeling language variation and universals: A survey on typological linguistics for natural language processing EM Ponti, H O’horan, Y Berzak, I Vulić, R Reichart, T Poibeau, E Shutova, ... Computational Linguistics 45 (3), 559-601, 2019 | 146 | 2019 |
| Universal Dependencies for Learner English Y Berzak, J Kenney, C Spadine, JX Wang, L Lam, KS Mori, S Garza, ... Annual Meeting of the Association for Computational Linguistics (ACL), 2016 | 82 | 2016 |
| Survey on the Use of Typological Information in Natural Language Processing H O'Horan, Y Berzak, I Vulić, R Reichart, A Korhonen International Conference on Computational Linguistics (COLING), 2016 | 55 | 2016 |
| Assessing Language Proficiency from Eye Movements in Reading Y Berzak, B Katz, R Levy Conference of the North American Chapter of the Association for …, 2018 | 49 | 2018 |
| Do You See What I Mean? Visual Resolution of Linguistic Ambiguities Y Berzak, A Barbu, D Harari, B Katz, S Ullman Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015 | 40 | 2015 |
| Anchoring and Agreement in Syntactic Annotations Y Berzak, Y Huang, A Barbu, A Korhonen, B Katz Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016 | 38 | 2016 |
| Reconstructing Native Language Typology from Foreign Language Usage Y Berzak, R Reichart, B Katz Conference on Computational Natural Language Learning (CoNLL), 2014 | 38 | 2014 |
| Predicting Native Language from Gaze Y Berzak, C Nakamura, S Flynn, B Katz Annual Meeting of the Association for Computational Linguistics (ACL), 2017 | 36 | 2017 |
| Bridging Information-Seeking Human Gaze and Machine Reading Comprehension J Malmaud, R Levy, Y Berzak Conference on Computational Natural Language Learning (CoNLL), 2020 | 31 | 2020 |
| Universal dependencies 2.3 N Joakim, A Mitchell, A Lars, A Lene, A Katya, AM Jesus, A Gashaw, ... LINDAT/CLARIN digital library at the Institute of Formal and Applied …, 2018 | 25* | 2018 |
| Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL Y Berzak, R Reichart, B Katz Conference on Computational Natural Language Learning (CoNLL), 2015 | 25 | 2015 |
| Classifying Syntactic Errors in Learner Language L Choshen, D Nikolaev, Y Berzak, O Abend Conference on Computational Natural Language Learning (CoNLL), 2020 | 22 | 2020 |
| STARC: Structured Annotations for Reading Comprehension Y Berzak, J Malmaud, R Levy Annual Meeting of the Association for Computational Linguistics (ACL), 2020 | 22 | 2020 |
| Grounding language acquisition by training semantic parsers using captioned videos C Ross, A Barbu, Y Berzak, B Myanganbayar, B Katz Conference on Empirical Methods in Natural Language Processing (EMNLP), 2647 …, 2018 | 22 | 2018 |
| Predicting Text Readability from Scrolling Interactions S Gooding, Y Berzak, T Mak, M Sharifi Conference on Computational Natural Language Learning (CoNLL), 2021 | 20 | 2021 |
| CELER: A 365-participant corpus of eye movements in L1 and L2 English reading Y Berzak, C Nakamura, A Smith, E Weng, B Katz, S Flynn, R Levy Open Mind 6, 41-50, 2022 | 17 | 2022 |
| Eye movement traces of linguistic knowledge Y Berzak, RP Levy PsyArXiv, 2022 | 5 | 2022 |
| Eye Movements in Information-Seeking Reading O Shubi, Y Berzak Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023 | 3 | 2023 |
| Eye Movement Traces of Linguistic Knowledge in Native and Non-Native Reading Y Berzak, R Levy Open Mind, 1-18, 2023 | 3 | 2023 |
| The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank A Yaari, J DeWitt, H Hu, B Stankovits, S Felshin, Y Berzak, H Aparicio, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 3 | 2022 |
Boris KatzMIT CSAIL, CBMM在 mit.edu 的电子邮件经过验证
