Miryam de Lhoneux
Miryam de Lhoneux
Postdoctoral researcher at the University of Copenhagen
Verified email at di.ku.dk - Homepage
Title
Cited by
Cited by
Year
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
362017
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
282018
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
272017
Parameter sharing between dependency parsers for related languages
M de Lhoneux, J Bjerva, I Augenstein, A Søgaard
EMNLP, 2018
202018
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
16*2018
Parser Training with Heterogeneous Treebanks
S Stymne, M de Lhoneux, A Smith, J Nivre
ACL 2018, 2018
152018
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
14*2019
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
102017
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
Recursive Subtree Composition in LSTM-Based Dependency Parsing
M de Lhoneux, M Ballesteros, J Nivre
NAACL, 2019
62019
CCG Parsing and Multiword Expressions
M de Lhoneux
The University of Edinburgh, 2014
62014
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
32018
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
22019
UD Treebank Sampling for Comparative Parser Evaluation
M de Lhoneux, J Nivre
The Sixth Swedish Language Technology Conference (SLTC), 2016
22016
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?
M de Lhoneux, S Stymne, J Nivre
arXiv preprint arXiv:1907.07950, 2019
12019
Linguistically Informed Neural Dependency Parsing for Typologically Diverse Languages
M de Lhoneux
Uppsala University, 2019
12019
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
Polyglot Parsing for One Thousand and One Languages (And Then Some)
A Basirat, M de Lhoneux, A Kulmizev, M Kurfalı, J Nivre, R Ostling
First workshop on Typology for Polyglot NLP, 2019
2019
Universal Dependency Parsing at Uppsala University
J Nivre, M de Lhoneux, A Smith, S Stymne
SLTC 2018, 2018
2018
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Articles 1–20