FuzzyPR: An Effective Passage Retrieval System for QAS

Authors:
Hans Ulrich Christensen;Daniel Ortiz-Arroyo
Affiliations:
Computer Science Department, Aalborg University Esbjerg, Niels Bohrs Vej 8, 6700, Denmark;Computer Science Department, Aalborg University Esbjerg, Niels Bohrs Vej 8, 6700, Denmark
Venue:
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Year:
2009

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Abstract

In this paper we present FuzzyPR, a novel fuzzy logic based passage retrieval system for Question Answering Systems (QAS). FuzzyPRemploys a fuzzy logic based similarity measure that includes the best performing models to implement the question reformulation intuition. Our experiments show that FuzzyPRachieves consistently better performance in terms of coverage than JIRS on the TREC corpora and slightly better on the CLEF corpora.