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Miryam de Lhoneux
Miryam de Lhoneux
Postdoctoral researcher at KU Leuven, Uppsala University and the University of Copenhagen
Bestätigte E-Mail-Adresse bei kuleuven.be - Startseite
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Zitiert von
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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
56*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
522017
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
50*2019
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
442017
Parser Training with Heterogeneous Treebanks
S Stymne, M de Lhoneux, A Smith, J Nivre
ACL 2018, 2018
382018
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
36*2018
Parameter sharing between dependency parsers for related languages
M de Lhoneux, J Bjerva, I Augenstein, A Søgaard
EMNLP, 2018
342018
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
162017
Recursive Subtree Composition in LSTM-Based Dependency Parsing
M de Lhoneux, M Ballesteros, J Nivre
NAACL, 2019
142019
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
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
6*2020
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
62018
CCG Parsing and Multiword Expressions
M de Lhoneux
The University of Edinburgh, 2014
62014
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
5*2020
Challenges and Strategies in Cross-Cultural NLP
D Hershcovich, S Frank, H Lent, M de Lhoneux, M Abdou, S Brandl, ...
arXiv preprint arXiv:2203.10020, 2022
42022
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
3*2021
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?
M de Lhoneux, S Stymne, J Nivre
Computational Linguistics 46 (4), 763-784, 2020
32020
Parsing with Pretrained Language Models, Multiple Datasets, and Dataset Embeddings
R van der Goot, M de Lhoneux
arXiv preprint arXiv:2112.03625, 2021
22021
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
2*2021
Linguistically Informed Neural Dependency Parsing for Typologically Diverse Languages
M de Lhoneux
Uppsala University, 2019
22019
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