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.
4 code implementations • COLING 2020 • Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis, Jean-Pierre Lorré
CRF models the conditional probability of the target DA label sequence given the input utterance sequence.
1 code implementation • Asian Chapter of the Association for Computational Linguistics 2020 • Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis, Jean-Pierre Lorré
Abstractive community detection is an important spoken language understanding task, whose goal is to group utterances in a conversation according to whether they can be jointly summarized by a common abstractive sentence.
4 code implementations • ACL 2018 • Guokan Shang, Wensi Ding, Zekun Zhang, Antoine Jean-Pierre Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, Jean-Pierre Lorré
We introduce a novel graph-based framework for abstractive meeting speech summarization that is fully unsupervised and does not rely on any annotations.
Ranked #1 on Meeting Summarization on ICSI Meeting Corpus
Abstractive Dialogue Summarization Abstractive Text Summarization +6
no code implementations • 30 Sep 2015 • Frederick Benaben, Vatcharaphun Rajsiri, Jean-Pierre Lorré, Hervé Pingaud
This paper presents an ontology-based approach for the design of a collaborative business process model (CBP).