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An analysis of query difficulty for information retrieval in the medical domain

Goeuriot, Lorraine and Kelly, Liadh and Leveling, Johannes (2014) An analysis of query difficulty for information retrieval in the medical domain. In: ACM Special Interest Group on Information Retrieval Conference (SIGIR 2014), 6-11 Jul 2014, Gold Coast, Australia. ISBN 978-1-4503-2257-7

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Abstract

We present a post-hoc analysis of a benchmarking activity for information retrieval (IR) in the medical domain to determine if performance for queries with different levels of complexity can be associated with different IR methods or techniques. Our analysis is based on data and runs for Task 3 of the CLEF 2013 eHealth lab, which provided patient queries and a large medical document collection for patient centred medical information retrieval technique development. We categorise the queries based on their complexity, which is defined as the number of medical concepts they contain. We then show how query complexity affects performance of runs submitted to the lab, and provide suggestions for improving retrieval quality for this complex retrieval task and similar IR evaluation tasks.

Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Medical information retrieval; Query processing
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
Published in:Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval. . Association for Computing Machinery. ISBN 978-1-4503-2257-7
Publisher:Association for Computing Machinery
Official URL:http://doi.acm.org/10.1145/2600428.2609496
Copyright Information:© ACM, 2014. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval http://doi.acm.org/10.1145/2600428.2609496
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:20107
Deposited On:17 Sep 2014 09:49 by Liadh Kelly. Last Modified 01 Feb 2017 13:12

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