Using Semantic Graphs and Word Sense Disambiguation Techniques to Improve Text Summarization

This paper presents a semantic graph-based method for extractive summarization. The summarizer uses WordNet concepts and relations to produce a semantic graph that represents the document, and a degree-based clustering algorithm is used to discover different themes or topics within the text. The sel...

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Bibliografische gegevens
Gepubliceerd in:Procesamiento del Lenguaje Natural
Hoofdauteurs: Laura Plaza, Alberto Díaz
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Sociedad Española para el Procesamiento del Lenguaje Natural 2011
Onderwerpen:
Computación
semantic graphs
concept clustering
Automatic summarization
word sense disambiguation
Online toegang:https://www.redalyc.org/articulo.oa?id=515751747010
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