Un résumeur à base de graphes, indépéndant de la langue

01/06/2015

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by   Juan-Manuel Torres-Moreno, et al.

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In this paper we present REG, a graph-based approach for study a fundamental problem of Natural Language Processing (NLP): the automatic text summarization. The algorithm maps a document as a graph, then it computes the weight of their sentences. We have applied this approach to summarize documents in three languages.