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21473 DutchHatTrick: Semantic query modeling, ConText, section detection, and match score maximization.
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Schuemie, M. and Trieschnigg, R.B. and Meij, E. (2011) DutchHatTrick: Semantic query modeling, ConText, section detection, and match score maximization. In: Proceedings of the Twentieth Text REtrieval Conference (TREC 2011), 15-18 Nov 2011, Gaithersburg, MD, USA. 26. NIST Special Publications. National Institute of Standards and Technology (NIST). ISBN not assigned

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Official URL: http://trec.nist.gov/pubs/trec20/papers/DutchHatTrick.med.update.pdf

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Abstract

This report discusses the collaborative work of the ErasmusMC, University of Twente, and the University of Amsterdam on the TREC 2011 Medical track. Here, the task is to retrieve patient visits from the University of Pittsburgh NLP Repository for 35 topics. The repository consists of 101,711 patient reports, and a patient visit was recorded in one or more reports.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-DB: Databases
Research Program:CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:DIRKA: Distributed Information Retrieval by means of Keyword Auctions
Uncontrolled Keywords:biomedical information retrieval, medical information retrieval
ID Code:21473
Status:Published
Deposited On:06 February 2012
Refereed:No
International:Yes
More Information:statisticsmetis

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