Using WordNet relations and semantic classes in information retrieval tasks
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http://hdl.handle.net/10045/23444
Title: | Using WordNet relations and semantic classes in information retrieval tasks |
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Authors: | Fernández Martínez, Javier | Izquierdo Beviá, Rubén | Gómez, José M. |
Research Group/s: | Procesamiento del Lenguaje y Sistemas de Información (GPLSI) |
Center, Department or Service: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Keywords: | Information retrieval | Semantic classes | WordNet |
Knowledge Area: | Lenguajes y Sistemas Informáticos |
Issue Date: | 2010 |
Publisher: | Springer Berlin / Heidelberg |
Citation: | FERNÁNDEZ, Javi; IZQUIERDO, Rubén; GÓMEZ, José M. "Using WordNet relations and semantic classes in information retrieval tasks". En: Multilingual Information Access Evaluation I : Text Retrieval Experiments, 10th Workshop of the Cross-Language Evaluation Forum, CLEF 2009, Corfu, Greece, September 30-October 2, 2009, Revised Selected Papers. Berlin : Springer, 2010. (Lecture Notes in Computer Science; 6241/2010). ISBN 978-3-642-15753-0, pp. 158-165 |
Abstract: | In this paper we explore the use of semantic classes in an existing information retrieval system in order to improve its results. Thus, we use two different ontologies of semantic classes (WordNet domain and Basic Level Concepts) in order to re-rank the retrieved documents and obtain better recall and precision. Finally, we implement a new method for weighting the expanded terms taking into account the weights of the original query terms and their relations in WordNet with respect to the new ones (which have demonstrated to improve the results). The evaluation of these approaches was carried out in the CLEF Robust-WSD Task, obtaining an improvement of 1.8% in GMAP for the semantic classes approach and 10% in MAP employing the WordNet term weighting approach. |
Sponsor: | This paper has been partially supported by the Spanish government, project TIN-2006-15265-C06-01 and by the framework of the project QALL-ME, which is a 6th Framework Research Programme of the European Union (EU), contract number: FP6-IST-033860 and by the University of Comahue under the project 04/E062. |
URI: | http://hdl.handle.net/10045/23444 |
ISBN: | 978-3-642-15753-0 |
ISSN: | 0302-9743 (Print) | 1611-3349 (Online) |
DOI: | 10.1007/978-3-642-15754-7_19 |
Language: | eng |
Type: | info:eu-repo/semantics/bookPart |
Rights: | The original publication is available at www.springerlink.com |
Peer Review: | si |
Publisher version: | http://dx.doi.org/10.1007/978-3-642-15754-7_19 |
Appears in Collections: | INV - GPLSI - Capítulos de Libros |
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File | Description | Size | Format | |
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Using_WordNet_Relations.pdf | Versión final (acceso restringido) | 144,37 kB | Adobe PDF | Open Request a copy |
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