Microblog Contextualization Using Continuous Space Vectors: Multi-Sentence Compression of Cultural Documents

Elvys Linhares Pontes (1) , Stéphane Huet (1) , Juan-Manuel Torres-Moreno (1, 2) , Andréa Carneiro Linhares (3)

1 LIA - Laboratoire Informatique d'Avignon
2 EPM - École Polytechnique de Montréal
3 UFC - Universidade Federal do Ceará = Federal University of Ceará

In this paper we describe our work for the MC2 CLEF 2017 lab. We participated in the content analysis task that involves filtering, language recognition and summarization. We combine Information Retrieval with Multi-Sentence Compression methods to contextualize mi-croblogs using Wikipedia's pages.

Mots clés: Multi-Sentence Compression; Word Embedding; Wikipedia; Microblog Contextualization

Domaines: Recherche d'information [cs.IR]; Traitement du texte et du document

Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno, Andréa Carneiro Linhares. Microblog Contextualization Using Continuous Space Vectors: Multi-Sentence Compression of Cultural Documents. Working Notes of the CLEF Lab on Microblog Cultural Contextualization, 2017, Dublin, Ireland. ⟨hal-01779486⟩