| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 1033 | 2022 |
| CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies D Zeman, and others Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw …, 2017 | 666 | 2017 |
| Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection J Nivre, MC de Marneffe, F Ginter, J Hajič, CD Manning, S Pyysalo, ... Proceedings of the Twelfth International Conference on Language Resources …, 2020 | 563 | 2020 |
| Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval S Schuster, R Krishna, A Chang, L Fei-Fei, CD Manning Proceedings of the Fourth Workshop on Vision and Language, 70-80, 2015 | 368 | 2015 |
| Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks S Schuster, CD Manning Tenth International Conference on Language Resources and Evaluation (LREC 2016), 2016 | 338 | 2016 |
| Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog S Schuster, S Gupta, R Shah, M Lewis Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 307 | 2019 |
| Universal Dependencies 2.0 J Nivre, et al. https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-1983, 2017 | 265 | 2017 |
| Human effort and machine learnability in computer aided translation S Green, SI Wang, J Chuang, J Heer, S Schuster, CD Manning Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 89 | 2014 |
| I know what you're probably going to say: Listener adaptation to variable use of uncertainty expressions S Schuster, J Degen Cognition 203, 2020 | 43 | 2020 |
| Harnessing the linguistic signal to predict scalar inferences S Schuster, Y Chen, J Degen Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 39* | 2020 |
| Coloring the blank slate: Pre-training imparts a hierarchical inductive bias to sequence-to-sequence models A Mueller, R Frank, T Linzen, L Wang, S Schuster arXiv preprint arXiv:2203.09397, 2022 | 36 | 2022 |
| HEATSTER: a database and web server for identification and classification of heat stress transcription factors in plants J Berz, S Simm, S Schuster, KD Scharf, E Schleiff, I Ebersberger Bioinformatics and biology insights 13, 1177932218821365, 2019 | 34 | 2019 |
| Enhancing universal dependency treebanks: A case study J Nivre, P Marongiu, F Ginter, J Kanerva, S Montemagni, S Schuster, ... Proceedings of the Second Workshop on Universal Dependencies (UDW 2018), 102-107, 2018 | 29 | 2018 |
| Sentences with Gapping: Parsing and Reconstructing Elided Predicates S Schuster, J Nivre, CD Manning Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 27 | 2018 |
| When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it S Schuster, T Linzen Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 23 | 2022 |
| NOPE: A corpus of naturally-occurring presuppositions in English A Parrish, S Schuster, A Warstadt, O Agha, SH Lee, Z Zhao, SR Bowman, ... arXiv preprint arXiv:2109.06987, 2021 | 22 | 2021 |
| Entity tracking in language models N Kim, S Schuster arXiv preprint arXiv:2305.02363, 2023 | 21 | 2023 |
| Paris and Stanford at EPE 2017: Downstream Evaluation of Graph-based Dependency Representations S Schuster, EV de la Clergerie, M Candito, B Sagot, CD Manning, ... Proceedings of the 2017 Shared Task on Extrinsic Parser Evaluation (EPE 2017), 2017 | 18 | 2017 |
| Gapping Constructions in Universal Dependencies v2 S Schuster, M Lamm, CD Manning NoDaLiDa 2017 Workshop on Universal Dependencies (UDW 2017), 123-132, 2017 | 18 | 2017 |
| Expectations over unspoken alternatives predict pragmatic inferences J Hu, R Levy, J Degen, S Schuster Transactions of the Association for Computational Linguistics 11, 2023 | 14 | 2023 |
Joakim NivreProfessor of Computational Linguistics, Uppsala University; Senior Researcher, RISEVerified email at lingfil.uu.se
