Applying logic forms and statistical methods to CL-SR performance

Authors:
Rafael M. Terol;Patricio Martinez-Barco;Manuel Palomar
Affiliations:
Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Alicante, Spain;Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Alicante, Spain;Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Alicante, Spain
Venue:
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Year:
2006

Citing 2
Cited 0

Logic form transformation of WordNet and its applicability to question answering

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Combining passages in the monolingual task with the IR-n system

CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories

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Abstract

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.