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SIGIR
2008
ACM

Measuring concept relatedness using language models

8 years 11 months ago
Measuring concept relatedness using language models
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 res 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. Categories and Subject Descriptors H.3.1 [Information Storage and Retrieval]: Content and Indexing--Abstracting methods General Terms Algorithms, Theory, Experimentation, Measurement Keywords Language Models, Semantic Relatedness
Dolf Trieschnigg, Edgar Meij, Maarten de Rijke, We
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2008
Where SIGIR
Authors Dolf Trieschnigg, Edgar Meij, Maarten de Rijke, Wessel Kraaij
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