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LREC
2010

Automatic Summarization Using Terminological and Semantic Resources

14 years 28 days ago
Automatic Summarization Using Terminological and Semantic Resources
In this paper we present a new algorithm for automatic summarization of specialized texts combining terminological and semantic resources: a term extractor and an ontology. The term extractor provides the list of the terms that are present in the text together their corresponding termhood. The ontology is used to calculate the semantic similarity among the terms found in the main body and those present in the document title. The phrases with the highest score are chosen to take part of the final summary. We evaluate the algorithm with ROUGE, comparing the resulting summaries with the summaries of other summarizers. The sentence selection algorithm was also tested as part of a standalone summarizer. It obtains good results, but there is a space for improvement.
Jorge Vivaldi, Iria da Cunha, Juan Manuel Torres M
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2010
Where LREC
Authors Jorge Vivaldi, Iria da Cunha, Juan Manuel Torres Moreno, Patricia Velázquez-Morales
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