no code implementations • JEP/TALN/RECITAL 2022 • Maëlle Brassier, Théo Azzouza, Jean-Yves Antoine, Loïc Grobol, Anaïs Lefeuvre-Halftermeyer
Nous présentons OFCoRS, un système de résolution de coréférence, basé sur le français parlé et un ensemble de modèles Random Forest.
no code implementations • HumEval (ACL) 2022 • Mariya Borovikova, Loïc Grobol, Anaïs Halftermeyer, Sylvie Billot
We propose a method for investigating the interpretability of metrics used for the coreference resolution task through comparisons with human judgments.
no code implementations • JEP/TALN/RECITAL 2021 • Loïc Grobol, Benoit Crabbé
L’analyseur s’appuie sur de riches représentations lexicales issues notamment de BERT et de FASTTEXT.
no code implementations • 16 Sep 2019 • Marco Dinarelli, Loïc Grobol
We propose a neural architecture with the main characteristics of the most successful neural models of the last years: bidirectional RNNs, encoder-decoder, and the Transformer model.
no code implementations • 9 Apr 2019 • Marco Dinarelli, Loïc Grobol
During the last couple of years, Recurrent Neural Networks (RNN) have reached state-of-the-art performances on most of the sequence modelling problems.