no code implementations • JEPTALNRECITAL 2020 • Hang Le, Lo{\"\i}c Vial, Jibril Frej, Vincent Segonne, Maximin Coavoux, Benjamin Lecouteux, Alex Allauzen, re, Beno{\^\i}t Crabb{\'e}, Laurent Besacier, Didier Schwab
Les mod{\`e}les de langue pr{\'e}-entra{\^\i}n{\'e}s sont d{\'e}sormais indispensables pour obtenir des r{\'e}sultats {\`a} l{'}{\'e}tat-de-l{'}art dans de nombreuses t{\^a}ches du TALN.
no code implementations • WS 2019 • Vincent Segonne, C, Marie ito, Beno{\^\i}t Crabb{\'e}
In this paper, we investigate which strategy to adopt to achieve WSD for languages lacking data that was annotated specifically for the task, focusing on the particular case of verb disambiguation in French.
no code implementations • JEPTALNRECITAL 2017 • Maximin Coavoux, Beno{\^\i}t Crabb{\'e}
Enfin, nos exp{\'e}riences montrent que la raret{\'e} des ph{\'e}nom{\`e}nes concern{\'e}s dans les donn{\'e}es fran{\c{c}}aises pose des difficult{\'e}s pour l{'}apprentissage et l{'}{\'e}valuation des structures discontinues.
1 code implementation • EACL 2017 • Maximin Coavoux, Beno{\^\i}t Crabb{\'e}
This article introduces a novel transition system for discontinuous lexicalized constituent parsing called SR-GAP.
1 code implementation • EACL 2017 • Maximin Coavoux, Beno{\^\i}t Crabb{\'e}
We introduce a constituency parser based on a bi-LSTM encoder adapted from recent work (Cross and Huang, 2016b; Kiperwasser and Goldberg, 2016), which can incorporate a lower level character biLSTM (Ballesteros et al., 2015; Plank et al., 2016).
no code implementations • COLING 2016 • Rachel Bawden, Beno{\^\i}t Crabb{\'e}
We present an efficient model selection method using boosting for transition-based constituency parsing.
no code implementations • JEPTALNRECITAL 2015 • Maximin Coavoux, Beno{\^\i}t Crabb{\'e}
L{'}article traite de l{'}analyse syntaxique lexicalis{\'e}e pour les grammaires de constituants.