A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
A Query Substitution-Search Result Refinement Approach for Long Query Web Searches
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
A survey on question answering technology from an information retrieval perspective
Information Sciences: an International Journal
Analyzing the effect of query class on document retrieval performance
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
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We investigate two seemingly incompatible approaches for improving document retrieval performance in the context of question answering: query expansion and query reduction.Queries are expanded by generating lexical paraphrases. Syntactic, semantic and corpus-based frequency information is used in this process. Queries are reduced by removing words that may detract from retrieval performance. Features that identify these words were obtained from decision graphs. These approaches were evaluated using a subset of queries from TREC8, 9 and 10. Our evaluation shows that each approach in isolation improves retrieval performance, and both approaches together yield substantial improvements. Specifically, query expansion followed by reduction improved the average number of correctdocuments retrieved by 21.7% and the average number of queries that can be answered by 15%.