CEA LIST: Processing low-resource languages for CoNLL 2018 - CEA - Commissariat à l’énergie atomique et aux énergies alternatives
Communication Dans Un Congrès Année : 2018

CEA LIST: Processing low-resource languages for CoNLL 2018

Résumé

In this paper, we describe the system used for our first participation at the CoNLL 2018 shared task. The submitted system largely reused the state of the art parser from CoNLL 2017 (https://github.com/tdozat/Parser-v2). We enhanced this system for morphological features predictions, and we used all available resources to provide accurate models for low-resource languages. We ranked 5th of 27 participants in MLAS for building morphology aware dependency trees, 2nd for morphological features only, and 3rd for tagging (UPOS) and parsing (LAS) low-resource languages.
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Dates et versions

cea-04575380 , version 1 (14-05-2024)

Identifiants

Citer

Elie Duthoo, Olivier Mesnard. CEA LIST: Processing low-resource languages for CoNLL 2018. CoNLL 2018 - The SIGNLL Conference on Computational Natural Language Learning, Oct 2018, Bruxelles, Belgium. pp.34-44, ⟨10.18653/v1/K18-2003⟩. ⟨cea-04575380⟩
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