FuzzyPR: An Effective Passage Retrieval System for QAS [chapter]

Hans Ulrich Christensen, Daniel Ortiz-Arroyo
2007 Lecture Notes in Computer Science  
In this paper we present FuzzyPR, a novel fuzzy logic based passage retrieval system for Question Answering Systems (QAS). FuzzyPR employs a fuzzy logic based similarity measure that includes the best performing models to implement the question reformulation intuition. Our experiments show that FuzzyPR achieves consistently better performance in terms of coverage than JIRS on the TREC corpora and slightly better on the CLEF corpora.
doi:10.1007/978-3-540-72530-5_23 fatcat:7qsgylhdf5hk7mlqifbvrb7pqq