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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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| Publicado no: | Procesamiento del Lenguaje Natural |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Sociedad Española para el Procesamiento del Lenguaje Natural
2011
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| Assuntos: | |
| Acesso em linha: | https://www.redalyc.org/articulo.oa?id=515751747010 |
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