Challenges and Strategies in Cross-Cultural NLP D Hershcovich, S Frank, H Lent, M de Lhoneux, M Abdou, S Brandl, ... ACL, 2022 | 99* | 2022 |
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 | 71* | 2019 |
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 | 69* | 2018 |
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 | 60 | 2017 |
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 | 51 | 2017 |
Parser Training with Heterogeneous Treebanks S Stymne, M de Lhoneux, A Smith, J Nivre ACL 2018, 2018 | 49 | 2018 |
Language modelling with pixels P Rust, JF Lotz, E Bugliarello, E Salesky, de Lhoneux Miryam, ... The Eleventh International Conference on Learning Representations, 2023 | 46* | 2023 |
Parameter sharing between dependency parsers for related languages M de Lhoneux, J Bjerva, I Augenstein, A Søgaard EMNLP, 2018 | 44 | 2018 |
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 | 42* | 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 | 17 | 2017 |
Recursive Subtree Composition in LSTM-Based Dependency Parsing M de Lhoneux, M Ballesteros, J Nivre NAACL, 2019 | 14 | 2019 |
A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs M Hartmann, M de Lhoneux, D Hershcovich, Y Kementchedjhieva, ... Proceedings of the 25th Conference on Computational Natural Language …, 2021 | 13* | 2021 |
What a Creole Wants, What a Creole Needs H Lent, K Ogueji, M de Lhoneux, O Ahia, A Søgaard arXiv preprint arXiv:2206.00437, 2022 | 11* | 2022 |
On language models for creoles H Lent, E Bugliarello, M de Lhoneux, C Qiu, A Søgaard Proceedings of the 25th Conference on Computational Natural Language …, 2021 | 11* | 2021 |
Finding Structural Knowledge in Multimodal-BERT V Milewski, M de Lhoneux, MF Moens arXiv preprint arXiv:2203.09306, 2022 | 10 | 2022 |
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 | 10* | 2018 |
Itihasa: A large-scale corpus for Sanskrit to English translation R Aralikatte, M de Lhoneux, A Kunchukuttan, A Søgaard arXiv preprint arXiv:2106.03269, 2021 | 9 | 2021 |
Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics D Hershcovich, N Schneider, D Dvir, J Prange, M de Lhoneux, O Abend Proceedings of COLING, 2020 | 9* | 2020 |
Køpsala: Transition-based graph parsing via efficient training and effective encoding D Hershcovich, M de Lhoneux, A Kulmizev, E Pejhan, J Nivre Proceedings of the 16th International Conference on Parsing Technologies and …, 2020 | 8* | 2020 |
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 | 8* | 2016 |