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.
@article{arxiv.1501.01243,
title = {Un r\'esumeur \`a base de graphes, ind\'ep\'endant de la langue},
author = {Juan-Manuel Torres-Moreno and Javier Ramirez and Iria da Cunha},
journal= {arXiv preprint arXiv:1501.01243},
year = {2015}
}
Comments
8 pages, in French, 2 figures; International Workshop on African Human Language Technologies