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Query phrase expansion using Wikipedia in patent class search
Abstract Relevance Feedback methods generally suffeRelevance Feedback methods generally suffer from topic drift caused by words ambiguity and synonymous uses of words. As a way to alleviate the inherent problem, we propose a novel query phrase expansion approach utilizing semantic annotations in Wikipedia pages, trying to enrich queries with context disambiguating phrases. Focusing on the patent domain, especially on patent search where patents are classified into a hierarchy of categories, we attempt to understand the roles of phrases and words in query expansion in determining the relevance of documents and examine their contributions to alleviating the query drift problem. Our approach is compared against Relevance Model, a state-of-the-art, to show its superiority in terms of MAP on all levels of the classification hierarchy.ll levels of the classification hierarchy.
Abstractsub Relevance Feedback methods generally suffeRelevance Feedback methods generally suffer from topic drift caused by words ambiguity and synonymous uses of words. As a way to alleviate the inherent problem, we propose a novel query phrase expansion approach utilizing semantic annotations in Wikipedia pages, trying to enrich queries with context disambiguating phrases. Focusing on the patent domain, especially on patent search where patents are classified into a hierarchy of categories, we attempt to understand the roles of phrases and words in query expansion in determining the relevance of documents and examine their contributions to alleviating the query drift problem. Our approach is compared against Relevance Model, a state-of-the-art, to show its superiority in terms of MAP on all levels of the classification hierarchy.ll levels of the classification hierarchy.
Bibtextype inproceedings  +
Doi 10.1007/978-3-642-25631-8_11  +
Has author Al-Shboul B. + , Myaeng S.-H. +
Has extra keyword Drift problem + , Patent search + , Pseudo relevance feedback + , Query expansion + , Relevance feedback method + , Relevance models + , Semantic annotation + , Topic drift + , Wikipedia + , Expansion + , Feedback + , Infrared devices + , Patents and inventions + , Semantics + , World Wide Web + , Information retrieval +
Has keyword Patent Information Retrieval + , Phrase-based Query Expansion + , Pseudo-Relevance Feedback + , Query Expansion + , Wikipedia Categories +
Isbn 9783642256301  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 115–126  +
Published in Lecture Notes in Computer Science +
Title Query phrase expansion using Wikipedia in patent class search +
Type conference paper  +
Volume 7097 LNCS  +
Year 2011 +
Creation dateThis property is a special property in this wiki. 8 November 2014 05:23:07  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 8 November 2014 05:23:07  +
DateThis property is a special property in this wiki. 2011  +
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