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Les mod\`eles de langue contextuels Camembert pour le fran\ccais : impact de la taille et de l'h\'et\'erog\'en\'eit\'e des donn\'ees d'entrainement (C AMEM BERT Contextual Language Models for French: Impact of Training Data Size and Heterogeneity )
L{'}utilisation pratique de ces mod{\`e}les {---} dans toutes les langues sauf l{'}anglais {---} {\'e}tait donc limit{\'e}e. La sortie r{\'e}cente de plusieurs mod{\`e}les monolingues fond{\'e}s sur BERT (Devlin et al., 2019), notamment pour le fran{\c{c}}ais, a d{\'e}montr{\'e} l{'}int{\'e}r{\^e}t de ces mod{\`e}les en am{\'e}liorant l{'}{\'e}tat de l{'}art pour toutes les t{\^a}ches {\'e}valu{\'e}es.
ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing
We augment the deep Biaffine (BiAF) parser (Dozat and Manning, 2016) with novel features to perform competitively: we utilize an indomain version of ELMo features (Peters et al., 2018) which provide context-dependent word representations; we utilize disambiguated, embedded, morphosyntactic features from lexicons (Sagot, 2018), which complements the existing feature set.
Towards an environment for the production and the validation of lexical semantic resources
We present the components of a processing chain for the creation, visualization, and validation of lexical resources (formed of terms and relations between terms).
Boosting the Coverage of a Semantic Lexicon by Automatically Extracted Event Nominalizations
In this article, we present a distributional analysis method for extracting nominalization relations from monolingual corpora.
Evaluating and improving syntactic lexica by plugging them within a parser
We present some evaluation results for four French syntactic lexica, obtained through their conversion to the Alexina format used by the Lefff lexicon, and their integration within the large-coverage TAG-based FRMG parser.
