An analysis of evaluation campaigns in ad-hoc medical information retrieval: CLEF eHealth 2013 and 2014

Author:

Goeuriot Lorraine,Jones Gareth J. F.,Kelly Liadh,Leveling Johannes,Lupu Mihai,Palotti Joao,Zuccon Guido

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Information Systems

Reference79 articles.

1. Alsulmi, M. & Carterette, B. (2016). Improving clinical case search using semantic based query reformulations. In 2016 IEEE international conference on bioinformatics and biomedicine (BIBM) (pp. 694–698). IEEE.

2. Armstrong, T. G., Moffat, A., Webber, W., & Zobel, J. (2009). Improvements that don’t add up: Ad-hoc retrieval results since 1998. In CIKM 2009 (pp. 601–610). ACM.

3. Barajas, K. C., & Akella, R. (2013). Incorporating statistical topic models in the retrieval of health care documents. In Proceedings of the ShARe/CLEF eHealth Evaluation Lab.

4. Bedrick, S., & Sheikhshabbafghi, G. (2013). Lucene, MetaMap, and language modeling: OHSU at CLEF eHealth 2013. In Proceedings of the ShARe/CLEF eHealth Evaluation Lab.

5. Benigeri, M., & Pluye, P. (2003). Shortcomings of health information on the internet. Health Promotion International, 18(4), 381386.

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