| From Raw Text to Universal Dependencies–Look, No Tags! M de Lhoneux, Y Shao, A Basirat, E Kiperwasser, S Stymne, Y Goldberg, ... Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw …, 2017 | 39 | 2017 |
| 82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models A Smith, B Bohnet, M de Lhoneux, J Nivre, Y Shao, S Stymne Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw …, 2018 | 34* | 2018 |
| Arc-Hybrid Non-Projective Dependency Parsing with a Static-Dynamic Oracle M de Lhoneux, S Stymne, J Nivre Proceedings of the 15th International Conference on Parsing Technologies, 99-104, 2017 | 30 | 2017 |
| Parameter sharing between dependency parsers for related languages M de Lhoneux, J Bjerva, I Augenstein, A Søgaard EMNLP, 2018 | 24 | 2018 |
| Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing--A Tale of Two Parsers Revisited A Kulmizev, M de Lhoneux, J Gontrum, E Fano, J Nivre EMNLP, 2019 | 23* | 2019 |
| An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing A Smith, M de Lhoneux, S Stymne, J Nivre EMNLP, 2018 | 19* | 2018 |
| Parser Training with Heterogeneous Treebanks S Stymne, M de Lhoneux, A Smith, J Nivre ACL 2018, 2018 | 19 | 2018 |
| Old School vs. New School: Comparing Transition-Based Parsers with and without Neural Network Enhancement M de Lhoneux, S Stymne, J Nivre Proceedings of the 15th International Workshop on Treebanks and Linguistic …, 2017 | 10 | 2017 |
| Recursive Subtree Composition in LSTM-Based Dependency Parsing M de Lhoneux, M Ballesteros, J Nivre NAACL, 2019 | 7 | 2019 |
| Should Have, Would Have, Could Have. Investigating Verb Group Representations for Parsing with Universal Dependencies. M de Lhoneux, J Nivre Workshop on Multilingual and Crosslingual Methods in NLP, 10-19, 2016 | 7* | 2016 |
| CCG Parsing and Multiword Expressions M de Lhoneux The University of Edinburgh, 2014 | 6 | 2014 |
| Nightmare at test time: How punctuation prevents parsers from generalizing A Søgaard, M de Lhoneux, I Augenstein Analyzing and interpreting neural networks for NLP worskhop, 2018 | 3 | 2018 |
| Linguistically Informed Neural Dependency Parsing for Typologically Diverse Languages M de Lhoneux Uppsala University, 2019 | 2 | 2019 |
| Investigating the effect of automatic MWE recognition on CCG parsing M de Lhoneux, O Abend, M Steedman Representation and Parsing of Multiword Expressions: Current trends, 183-215, 2019 | 2 | 2019 |
| UD Treebank Sampling for Comparative Parser Evaluation M de Lhoneux, J Nivre The Sixth Swedish Language Technology Conference (SLTC), 2016 | 2 | 2016 |
| What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions? M Lhoneux, S Stymne, J Nivre Computational Linguistics, 1-22, 2019 | 1 | 2019 |
| Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020) MC de Marneffe, M de Lhoneux, J Nivre, S Schuster Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020), 2020 | | 2020 |
| Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics D Hershcovich, N Schneider, D Dvir, J Prange, M de Lhoneux, O Abend arXiv preprint arXiv:2011.00834, 2020 | | 2020 |
| K {\o} psala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding D Hershcovich, M de Lhoneux, A Kulmizev, E Pejhan, J Nivre arXiv preprint arXiv:2005.12094, 2020 | | 2020 |
| Do we need recursive subtree composition in dependency parsing? M de Lhoneux Workshop on Data-driven Approaches to Parsing and Semantic, 2019 | | 2019 |
Joakim NivreProfessor of Computational Linguistics, Uppsala UniversityVerified email at lingfil.uu.se
