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Conference Paper

Search for Medical Records: NICTA at TREC 2011 Medical Track

MPS-Authors
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Zhang,  L
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Karimi, S., Martinez, D., Ghodke, S., Zhang, L., Suominen, H., & Cavedon, L. (2011). Search for Medical Records: NICTA at TREC 2011 Medical Track. In Twentieth Text REtrieval Conference (TREC 2011) (pp. 1-7).


Cite as: http://hdl.handle.net/21.11116/0000-0001-F26E-3
Abstract
NICTA (National ICT Australia) participated in the Medical Records track of TREC 2011 with seven automatic runs. The main techniques used in our submissions involved using Boolean retrieval for filtering, query transformation, and query expansion. Evaluation of our best run ranks our submissions higher than the median of all systems for this track, and stands at rank seven among 109 automatic runs which were submitted by the 29 participating groups.