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DCU@TRECMed 2012: Using ad-hoc baselines for domain-specific retrieval

Leveling, Johannes and Goeuriot, Lorraine and Kelly, Liadh and Jones, Gareth J.F. (2012) DCU@TRECMed 2012: Using ad-hoc baselines for domain-specific retrieval. In: Medical Records Track, Text Retrieval Conference (TREC) 2012, 6-9 Nov 2012, Gaithersburg, USA.

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Abstract

This paper describes the first participation of DCU in the TREC Medical Records Track (TRECMed). We performed some initial experiments on the 2011 TRECMed data based on the BM25 retrieval model. Surprisingly, we found that the standard BM25 model with default parameters, performs comparable to the best automatic runs submitted to TRECMed 2011 and would have resulted in rank four out of 29 participating groups. We expected that some form of domain adaptation would increase performance. However, results on the 2011 data proved otherwise: concept-based query expansion decreased performance, and filtering and reranking by term proximity also decreased performance slightly. We submitted four runs based on the BM25 retrieval model to TRECMed 2012 using standard BM25, standard query expansion, result filtering, and concept-based query expansion. Official results for 2012 confirm that domain-specific knowledge does not increase performance compared to the BM25 baseline as applied by us.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:No
Uncontrolled Keywords:concept-based query expansion; medical records retrieval; domain-specific information retrieval
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:17588
Deposited On:26 Nov 2012 11:20 by Liadh Kelly. Last Modified 26 Nov 2012 11:20

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