no code implementations • 17 May 2024 • Virgile Rennard, Guokan Shang, Julie Hunter, Michalis Vazirgiannis
We introduce an extractive summarization system for meetings that leverages discourse structure to better identify salient information from complex multi-party discussions.
1 code implementation • 8 Dec 2023 • Virgile Rennard, Guokan Shang, Damien Grari, Julie Hunter, Michalis Vazirgiannis
In this paper, we present a dataset of French political debates for the purpose of enhancing resources for multi-lingual dialogue summarization.
no code implementations • 28 Nov 2023 • Julie Hunter, Jérôme Louradour, Virgile Rennard, Ismaïl Harrando, Guokan Shang, Jean-Pierre Lorré
We present the Claire French Dialogue Dataset (CFDD), a resource created by members of LINAGORA Labs in the context of the OpenLLM France initiative.
no code implementations • 20 Nov 2023 • Yanzhu Guo, Guokan Shang, Virgile Rennard, Michalis Vazirgiannis, Chloé Clavel
With the increasing amount of problematic peer reviews in top AI conferences, the community is urgently in need of automatic quality control measures.
2 code implementations • 8 Aug 2022 • Virgile Rennard, Guokan Shang, Julie Hunter, Michalis Vazirgiannis
A system that could reliably identify and sum up the most important points of a conversation would be valuable in a wide variety of real-world contexts, from business meetings to medical consultations to customer service calls.
Abstractive Dialogue Summarization Abstractive Text Summarization +3
no code implementations • PoliticalNLP (LREC) 2022 • Hadi Abdine, Yanzhu Guo, Virgile Rennard, Michalis Vazirgiannis
We perform community detection on a retweet graph of users and propose an in-depth analysis of the stance of each community.
no code implementations • WNUT (ACL) 2021 • Yanzhu Guo, Virgile Rennard, Christos Xypolopoulos, Michalis Vazirgiannis
We make our model publicly available in the transformers library with the aim of promoting future research in analytic tasks for French tweets.