Search Results for author: Jean-Pierre Lorré

Found 4 papers, 3 papers with code

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.

Community Detection Spoken Language Understanding

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).

Cannot find the paper you are looking for? You can Submit a new open access paper.