Query Expansion and Query Reduction in Document Retrieval

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 correct

• Type: Conference
• Year: 2003
• Where: ICTAI
• Authors: Ingrid Zukerman, Bhavani Raskutti, Yingying Wen
• Keywords: Artificial Intelligence, Document Retrieval Performance, ICTAI 2003, Query Expansion, Retrieval Performance