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ELMoLex

Neural parsing system developed for ALMAnaCH's submission to the CoNLL-18 multilingual parsing shared task

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Description

Analyseur syntaxique neuronal développé pour la soumission d'ALMAnaCH à la shared task CoNLL-18 d'analyse syntaxique multilingue. ELMoLex s'appuie sur le Deep Biaffine Parser et l'étend avec des traits extraits des lexiques UDLexicons.

Citation and publication(s)

If you use this work, please cite the following:

Ganesh Jawahar, Benjamin Muller, Amal Fethi, Louis Martin, Éric Villemonte de La Clergerie, Benoît Sagot and Djamé Seddah. 2018. ELMoLex: Connecting ELMo and Lexicon features for Dependency Parsing.
In CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. Brussels, Belgium.
HAL PDF
@inproceedings{jawahar:hal-01959045,
 address = {Brussels, Belgium},
 author = {Jawahar, Ganesh and Muller, Benjamin and Fethi, Amal and Martin, Louis and Villemonte de La Clergerie, {\'E}ric and Sagot, Beno{\^i}t and Seddah, Djam{\'e}},
 title = {{ELMoLex: Connecting ELMo and Lexicon features for Dependency Parsing}},
year = {2018},
 booktitle = {{CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies}},
 doi = {10.18653/v1/K18-2023},
 url = {https://inria.hal.science/hal-01959045},
 hal_pdf = {https://inria.hal.science/hal-01959045v1/file/elmolex-connecting-elmo.pdf},
}

Contact

For more information or if you have any questions, please contact Benjamin Muller and Djamé Seddah

benjamin.muller[at]inria.fr and djame.seddah[at]inria.fr