Question answering and multi-search engines in geo-temporal information retrieval


Autoria(s): Peregrino Torregrosa, Fernando; Tomás, David; Llopis, Fernando
Contribuinte(s)

Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos

Procesamiento del Lenguaje y Sistemas de Información (GPLSI)

Data(s)

28/02/2014

28/02/2014

2012

Resumo

In this paper we present a complete system for the treatment of both geographical and temporal dimensions in text and its application to information retrieval. This system has been evaluated in both the GeoTime task of the 8th and 9th NTCIR workshop in the years 2010 and 2011 respectively, making it possible to compare the system to contemporary approaches to the topic. In order to participate in this task we have added the temporal dimension to our GIR system. The system proposed here has a modular architecture in order to add or modify features. In the development of this system, we have followed a QA-based approach as well as multi-search engines to improve the system performance.

This research has been partially funded by the Spanish Government under project TEXTMESS 2.0 (TIN2009-13391-C04-01), and by the University of Alicante under project GRE10-33.

Identificador

Computational Linguistics and Intelligent Text Processing : 13th International Conference, CICLing 2012, New Delhi, India, March 11-17, 2012, Proceedings, Part II / Alexander Gelbukh (Ed.). Berlin : Springer, 2012. ISBN 978-3-642-28600-1, pp. 342-352

978-3-642-28600-1

0302-9743 (Print)

1611-3349 (Online)

http://hdl.handle.net/10045/35755

10.1007/978-3-642-28601-8_29

Idioma(s)

eng

Publicador

Springer Berlin Heidelberg

Relação

http://dx.doi.org/10.1007/978-3-642-28601-8_29

Direitos

The original publication is available at www.springerlink.com

info:eu-repo/semantics/restrictedAccess

Palavras-Chave #Geographical information retrieval #Geo-tagging #Spacial information #Temporal information #Lenguajes y Sistemas Informáticos
Tipo

info:eu-repo/semantics/conferenceObject