Extractive text summarization: can we use the same techniques for any text?
Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10045/33139
Título: | Extractive text summarization: can we use the same techniques for any text? |
---|---|
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: | Text summarization | Textual entailment | Anaphora resolution |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos |
Fecha de publicación: | 2013 |
Editor: | Springer Berlin / Heidelberg |
Cita bibliográfica: | VODOLAZOVA, Tatiana, et al. "Extractive text summarization: can we use the same techniques for any text?". En: Natural Language Processing and Information Systems : 18th International Conference on Applications of Natural Language to Information Systems, NLDB 2013, Salford, UK, June 19-21, 2013, Proceedings. Berlin : Springer, 2013. (Lecture Notes in Computer Science; 7934). ISBN 978-3-642-38823-1, pp. 164-175 |
Resumen: | In this paper we address two issues. The first one analyzes whether the performance of a text summarization method depends on the topic of a document. The second one is concerned with how certain linguistic properties of a text may affect the performance of a number of automatic text summarization methods. For this we consider semantic analysis methods, such as textual entailment and anaphora resolution, and we study how they are related to proper noun, pronoun and noun ratios calculated over original documents that are grouped into related topics. Given the obtained results, we can conclude that although our first hypothesis is not supported, since it has been found no evident relationship between the topic of a document and the performance of the methods employed, adapting summarization systems to the linguistic properties of input documents benefits the process of summarization. |
Patrocinador/es: | This research work has been partially funded by the European Commission under the Seventh (FP7 - 2007-2013) Framework Programme for Research and Technological Development through the FIRST project (FP7-287607); the Spanish Government through the project TEXTMESS 2.0 (TIN2009-13391-C04), ”Análisis de Tendencias Mediante Técnicas de Opinión Semántica” (TIN2012-38536-C03-03 ) and “Técnicas de Deconstrucción en la Tecnologías del Lenguaje Humano” (TIN2012-31224); and by the Valencian Government through the project PROMETEO (PROMETEO/2009/199). |
URI: | http://hdl.handle.net/10045/33139 |
ISBN: | 978-3-642-38823-1 |
ISSN: | 0302-9743 (Print) | 1611-3349 (Online) |
DOI: | 10.1007/978-3-642-38824-8_14 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | The original publication is available at www.springerlink.com |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.1007/978-3-642-38824-8_14 |
Aparece en las colecciones: | Investigaciones financiadas por la UE INV - GPLSI - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
---|---|---|---|---|
chp%3A10.1007%2F978-3-642-38824-8_14.pdf | Versión final (acceso restringido) | 184,37 kB | Adobe PDF | Abrir Solicitar una copia |
Todos los documentos en RUA están protegidos por derechos de autor. Algunos derechos reservados.