C4.5: programs for machine learning
C4.5: programs for machine learning
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
A classification approach to Boolean query reformulation
Journal of the American Society for Information Science
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A corpus analysis approach for automatic query expansion and its extension to multiple databases
ACM Transactions on Information Systems (TOIS)
A simple, fast, and effective rule learner
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Improving the effectiveness of information retrieval with local context analysis
ACM Transactions on Information Systems (TOIS)
A case study in web search using TREC algorithms
Proceedings of the 10th international conference on World Wide Web
Applying summarization techniques for term selection in relevance feedback
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
Boolean Query Mapping Across Heterogeneous Information Sources
IEEE Transactions on Knowledge and Data Engineering
Dipe-D: A Tool for Knowledge-Based Query Formulation in Information Retrieval
Information Retrieval
Domain-Specific Keyphrase Extraction
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
An effective approach to document retrieval via utilizing WordNet and recognizing phrases
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Questioning query expansion: an examination of behaviour and parameters
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Semantic indexing using WordNet senses
RANLPIR '00 Proceedings of the ACL-2000 workshop on Recent advances in natural language processing and information retrieval: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 11
Word clouds of multiple search results
IRFC'11 Proceedings of the Second international conference on Multidisciplinary information retrieval facility
A Survey of Automatic Query Expansion in Information Retrieval
ACM Computing Surveys (CSUR)
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In pseudo-relevance feedback, the two key factors affecting the retrieval performance most are the source from which expansion terms are generated and the method of ranking those expansion terms. In this paper, we present a novel unsupervised query expansion technique that utilizes keyphrases and POS phrase categorization. The keyphrases are extracted from the retrieved documents and weighted with an algorithm based on information gain and co-occurrence of phrases. The selected keyphrases are translated into Disjunctive Normal Form (DNF) based on the POS phrase categorization technique for better query refomulation. Furthermore, we study whether ontologies such as WordNet and MeSH improve the retrieval performance in conjunction with the keyphrases. We test our techniques on TREC 5, 6, and 7 as well as a MEDLINE collection. The experimental results show that the use of keyphrases with POS phrase categorization produces the best average precision.