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Utilizing phrase based semantic information for term dependency
Abstract Previous work on term dependency has not tPrevious work on term dependency has not taken into account semantic information underlying query phrases. In this work, we study the impact of utilizing phrase based concepts for term dependency. We use Wikipedia to separate important and less important term dependencies, and treat them accordingly as features in a linear feature-based retrieval model. We compare our method with a Markov Random Field (MRF) model on four TREC document collections. Our experimental results show that utilizing phrase based concepts improves the retrieval effectiveness of term dependency, and reduces the size of the feature set to large extent.e size of the feature set to large extent.
Abstractsub Previous work on term dependency has not tPrevious work on term dependency has not taken into account semantic information underlying query phrases. In this work, we study the impact of utilizing phrase based concepts for term dependency. We use Wikipedia to separate important and less important term dependencies, and treat them accordingly as features in a linear feature-based retrieval model. We compare our method with a Markov Random Field (MRF) model on four TREC document collections. Our experimental results show that utilizing phrase based concepts improves the retrieval effectiveness of term dependency, and reduces the size of the feature set to large extent.e size of the feature set to large extent.
Bibtextype inproceedings  +
Doi 10.1145/1390334.1390540  +
Has author Yang X. + , Fan D. + , Bin W. +
Has extra keyword Hidden Markov models + , Image segmentation + , Information retrieval + , Information services + , Information theory + , Research and development management + , Semantics + , Document collections + , Feature sets + , Linear features + , Markov random field model + , Markov random field models + , Phrase + , Retrieval effectivenesses + , Retrieval models + , Semantic informations + , Term dependencies + , Term dependency + , Wikipedia + , Natural language processing systems +
Has keyword Information retrieval + , Markov random field model + , Phrase + , Term dependency + , Wikipedia +
Isbn 9781605581644  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 855–856  +
Published in ACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedings +
Title Utilizing phrase based semantic information for term dependency +
Type conference paper  +
Year 2008 +
Creation dateThis property is a special property in this wiki. 8 November 2014 07:43:08  +
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 07:43:08  +
DateThis property is a special property in this wiki. 2008  +
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