Search Results for author: Jean-Pierre Lorré

Found 5 papers, 3 papers with code

The Claire French Dialogue Dataset

no code implementations28 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.

Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding

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.

Clustering Community Detection +2

Knowledge-based system for collaborative process specification

no code implementations30 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).

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