The role of statistical and semantic features in single-document extractive summarization
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Título: | The role of statistical and semantic features in single-document extractive summarization |
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Autor/es: | Vodolazova, Tatiana | Lloret, Elena | Muñoz, Rafael | Palomar, Manuel |
Grupo/s de investigación o GITE: | Procesamiento del Lenguaje y Sistemas de Información (GPLSI) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Palabras clave: | Extractive text summarization | Semantics | Statistics | Coreference resolution |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos |
Fecha de publicación: | 10-abr-2013 |
Editor: | Sciedu Press |
Cita bibliográfica: | Artificial Intelligence Research. 2013, 2(3): 35-44. doi:10.5430/air.v2n3p35 |
Resumen: | This paper reports on the further results of the ongoing research analyzing the impact of a range of commonly used statistical and semantic features in the context of extractive text summarization. The features experimented with include word frequency, inverse sentence and term frequencies, stopwords filtering, word senses, resolved anaphora and textual entailment. The obtained results demonstrate the relative importance of each feature and the limitations of the tools available. It has been shown that the inverse sentence frequency combined with the term frequency yields almost the same results as the latter combined with stopwords filtering that in its turn proved to be a highly competitive baseline. To improve the suboptimal results of anaphora resolution, the system was extended with the second anaphora resolution module. The present paper also describes the first attempts of the internal document data representation. |
URI: | http://hdl.handle.net/10045/36345 |
ISSN: | 1927-6974 (Print) | 1927-6982 (Online) |
DOI: | 10.5430/air.v2n3p35 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | This work is licensed under a Creative Commons Attribution 3.0 License |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.5430/air.v2n3p35 |
Aparece en las colecciones: | INV - GPLSI - Artículos de Revistas |
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