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14032 Measuring concept relatedness using language models
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Trieschnigg, R.B. and Meij, E. and de Rijke, M. and Kraaij, W. (2008) Measuring concept relatedness using language models. In: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, 20-24 Jul 2008, Singapore. pp. 823-824. Annual ACM Conference on Research and Development in Information Retrieval 31. ACM. ISBN 978-1-60558-164-4

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Official URL: http://doi.acm.org/10.1145/1390334.1390523

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Abstract

Over the years, the notion of concept relatedness has attracted considerable attention. A variety of approaches, based on ontology structure, information content, association, or context have been proposed to indicate the relatedness of abstract ideas. We propose a method based
on the cross entropy reduction between language models of concepts which are estimated based on document-concept assignments. The approach shows improved or competitive results compared to state-of-the-art methods on two test sets in the biomedical domain.

Item Type:Conference or Workshop Paper (Extended Abstract, Poster)
Research Group:EWI-HMI: Human Media Interaction
Research Program:CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:BioRange: A research programme to shape the future for bioinformatics in the Netherlands
ID Code:14032
Status:Published
Deposited On:06 November 2008
Refereed:Yes
International:Yes
More Information:statisticsmetis

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