Paper: Query Expansion based on Pseudo Relevance Feedback from Definition Clusters

ACL ID C10-2007
Title Query Expansion based on Pseudo Relevance Feedback from Definition Clusters
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

Query expansion consists in extending user queries with related terms in order to solve the lexical gap problem in Infor- mation Retrieval and Question Answer- ing. The main difficulty lies in identi- fying relevant expansion terms in order to prevent query drift. We propose to use definition clusters built from a com- bination of English lexical resources for query expansion. We apply the technique of pseudo relevance feedback to obtain expansion terms from definition clusters. We show that this expansion method out- performs both local feedback, based on the document collection, and expansion with WordNet synonyms, for the task of document retrieval in Question Answer- ing.