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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Terol, R. M., Martinez-Barco, P., & Palomar, M. (2007). Applying logic forms and statistical methods to CL-SR performance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4730 LNCS, pp. 766–769). Springer Verlag. https://doi.org/10.1007/978-3-540-74999-8_96
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