Un r\'esumeur \`a base de graphes, ind\'ep\'endant de la langue
classification
💻 cs.CL
keywords
approachalgorithmappliedautomaticbasecomputesdocumentdocuments
read the original abstract
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.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.