activity
20172021
most citedPredicting the Semantic Textual Similarity with Siamese CNN and LSTM

46 citations · 48 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2021

Findings from Experiments of On-line Joint Reinforcement Learning of Semantic Parser and Dialogue Manager with real Users

Matthieu Riou, Bassam Jabaian, Stéphane Huet +1

Design of dialogue systems has witnessed many advances lately, yet acquiring huge set of data remains an hindrance to their fast development for a new task or language. Besides, tr…

cs.CL2020

A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming

Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno +2

Multi-Sentence Compression (MSC) aims to generate a short sentence with the key information from a cluster of similar sentences. MSC enables summarization and question-answering sy…

cs.CL2018★ 46 cited

Predicting the Semantic Textual Similarity with Siamese CNN and LSTM

Elvys Linhares Pontes, Stéphane Huet, Andréa Carneiro Linhares +1

Semantic Textual Similarity (STS) is the basis of many applications in Natural Language Processing (NLP). Our system combines convolution and recurrent neural networks to measure t…

cs.CL2018

Joint On-line Learning of a Zero-shot Spoken Semantic Parser and a Reinforcement Learning Dialogue Manager

Matthieu Riou, Bassam Jabaian, Stéphane Huet +1

Despite many recent advances for the design of dialogue systems, a true bottleneck remains the acquisition of data required to train its components. Unlike many other language proc…

cs.CL2017★ 2 cited

Métodos de Otimização Combinatória Aplicados ao Problema de Compressão MultiFrases

Elvys Linhares Pontes, Thiago Gouveia da Silva, Andréa Carneiro Linhares +2

The Internet has led to a dramatic increase in the amount of available information. In this context, reading and understanding this flow of information have become costly tasks. In…

cs.IR2017

Algorithmes de classification et d'optimisation: participation du LIA/ADOC á DEFT'14

Luis Adrián Cabrera-Diego, Stéphane Huet, Bassam Jabaian +4

This year, the DEFT campaign (Défi Fouilles de Textes) incorporates a task which aims at identifying the session in which articles of previous TALN conferences were presented. We d…