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.
Original language | Undefined |
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Title of host publication | Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval |
Editors | S.H. Myaeng, W.D. Oard, F. Sebastiani, M.K. Leong |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Pages | 823-824 |
Number of pages | 2 |
ISBN (Print) | 978-1-60558-164-4 |
DOIs | |
Publication status | Published - 2008 |
Event | 31st Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008 - Singapore, Singapore Duration: 20 Jul 2008 → 25 Jul 2008 Conference number: 31 |
Publication series
Name | Annual ACM Conference on Research and Development in Information Retrieval |
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Publisher | ACM |
Number | 10 |
Volume | 31 |
Conference
Conference | 31st Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008 |
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Abbreviated title | SIGIR |
Country/Territory | Singapore |
City | Singapore |
Period | 20/07/08 → 25/07/08 |
Keywords
- METIS-252101
- EWI-14032
- IR-62526