no code implementations • LREC 2020 • Murielle Popa-Fabre, Pedro Javier Ortiz Su{\'a}rez, Beno{\^\i}t Sagot, {\'E}ric de la Clergerie
This paper investigates the impact of different types and size of training corpora on language models.
no code implementations • CONLL 2017 • {\'E}ric de la Clergerie, Beno{\^\i}t Sagot, Djam{\'e} Seddah
We present the ParisNLP entry at the UD CoNLL 2017 parsing shared task.
no code implementations • JEPTALNRECITAL 2017 • Lo{\"\i}c Grobol, Isabelle Tellier, {\'E}ric de la Clergerie, Marco Dinarelli, L, Fr{\'e}d{\'e}ric ragin
Cet article pr{\'e}sente trois exp{\'e}riences de d{\'e}tection de mentions dans un corpus de fran{\c{c}}ais oral : ANCOR.
no code implementations • LREC 2014 • C, Marie ito, Guy Perrier, Bruno Guillaume, Corentin Ribeyre, Kar{\"e}n Fort, Djam{\'e} Seddah, {\'E}ric de la Clergerie
We define a deep syntactic representation scheme for French, which abstracts away from surface syntactic variation and diathesis alternations, and describe the annotation of deep syntactic representations on top of the surface dependency trees of the Sequoia corpus.