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Applying logic forms and statistical methods to CL-SR performance

By Rafael Muñoz Terol, Patricio Martínez-Barco and Manuel Palomar


This paper describes a CL-SR system that employs two different techniques: the first one is based on NLP rules that consist on applying logic forms to the topic processing while the second one basically consists on applying the IR-n statistical search engine to the spoken document collection. The application of logic forms to the topics allows to increase the weight of topic terms according to a set of syntactic rules. Thus, the weights of the topic terms are used by IR-n system in the information retrieval process.This work has been partially supported by the Spanish Government (CICYT) with grant TIC2003-07158-C04-01

Topics: CL-SR system, Logic forms, IR-n statistical search engine, Lenguajes y Sistemas Informáticos
Publisher: Springer Berlin / Heidelberg
Year: 2007
DOI identifier: 10.1007/978-3-540-74999-8_96
OAI identifier: oai:rua.ua.es:10045/22648
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