Miryam de Lhoneux
Miryam de Lhoneux
Postdoctoral researcher at Uppsala University, KU Leuven and the University of Copenhagen
Bestätigte E-Mail-Adresse bei di.ku.dk - Startseite
Zitiert von
Zitiert von
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
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
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
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
Parser Training with Heterogeneous Treebanks
S Stymne, M de Lhoneux, A Smith, J Nivre
ACL 2018, 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
Parameter sharing between dependency parsers for related languages
M de Lhoneux, J Bjerva, I Augenstein, A Søgaard
EMNLP, 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
Recursive Subtree Composition in LSTM-Based Dependency Parsing
M de Lhoneux, M Ballesteros, J Nivre
NAACL, 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
CCG Parsing and Multiword Expressions
M de Lhoneux
The University of Edinburgh, 2014
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
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
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
Linguistically Informed Neural Dependency Parsing for Typologically Diverse Languages
M de Lhoneux
Uppsala University, 2019
UD Treebank Sampling for Comparative Parser Evaluation
M de Lhoneux, J Nivre
The Sixth Swedish Language Technology Conference (SLTC), 2016
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
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
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
Moses and the Character-Based Random Babbling Baseline: CoAStaL at AmericasNLP 2021 Shared Task
M Bollmann, R Aralikatte, HM Bello, D Hershcovich, M de Lhoneux, ...
Proceedings of the First Workshop on Natural Language Processing for …, 2021
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20