SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Towards context sensitive information inference
Journal of the American Society for Information Science and Technology - Mathematical, logical, and formal methods in information retrieval
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Robustness beyond shallowness: incremental deep parsing
Natural Language Engineering
Meaningful clustering of senses helps boost word sense disambiguation performance
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Introduction to Information Retrieval
Introduction to Information Retrieval
Translating queries into snippets for improved query expansion
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Extended gloss overlaps as a measure of semantic relatedness
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
CLEF 2009 ad hoc track overview: robust-WSD task
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
Query expansion powered by wikipedia hyperlinks
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
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Query expansion consists in extending user queries with related terms in order to solve the lexical gap problem in Information Retrieval and Question Answering. The main difficulty lies in identifying relevant expansion terms in order to prevent query drift. We propose to use definition clusters built from a combination 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 outperforms both local feedback, based on the document collection, and expansion with WordNet synonyms, for the task of document retrieval in Question Answering.