1 code implementation • JEP/TALN/RECITAL 2021 • Eduardo Calò, Léo Jacqmin, Thibo Rosemplatt, Maxime Amblard, Miguel Couceiro, Ajinkya Kulkarni
GECko+ : a Grammatical and Discourse Error Correction Tool We introduce GECko+, a web-based writing assistance tool for English that corrects errors both at the sentence and at the discourse level.
no code implementations • SIGDIAL (ACL) 2022 • Léo Jacqmin, Lina M. Rojas Barahona, Benoit Favre
DST has received a lot of interest in recent years with the text-to-text paradigm emerging as the favored approach.
no code implementations • WNUT (ACL) 2021 • Léo Jacqmin, Gabriel Marzinotto, Justyna Gromada, Ewelina Szczekocka, Robert Kołodyński, Géraldine Damnati
Following the increasing performance of neural machine translation systems, the paradigm of using automatically translated data for cross-lingual adaptation is now studied in several applicative domains.
no code implementations • JEP/TALN/RECITAL 2022 • Léo Jacqmin
Cet article présente dans un premier temps la tâche du suivi de l’état du dialogue, les jeux de données disponibles et les approches modernes.
no code implementations • 3 Nov 2023 • Lucas Druart, Léo Jacqmin, Benoît Favre, Lina Maria Rojas-Barahona, Valentin Vielzeuf
In Task-Oriented Dialogue (TOD) systems, correctly updating the system's understanding of the user's needs is key to a smooth interaction.
1 code implementation • 20 Apr 2023 • Léo Jacqmin, Lucas Druart, Yannick Estève, Benoît Favre, Lina Maria Rojas-Barahona, Valentin Vielzeuf
Though Dialogue State Tracking (DST) is a core component of spoken dialogue systems, recent work on this task mostly deals with chat corpora, disregarding the discrepancies between spoken and written language. In this paper, we propose OLISIA, a cascade system which integrates an Automatic Speech Recognition (ASR) model and a DST model.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 29 Jul 2022 • Léo Jacqmin, Lina M. Rojas-Barahona, Benoit Favre
DST has received a lot of interest in recent years with the text-to-text paradigm emerging as the favored approach.