Retrieving Medical Records with “sennamed”: NEC Labs America at TREC 2012 Medical Records Track

21st Text REtrieval Conference, TREC 2012

Volumn , Issue , 2012, Pages

  Qi, Yanjun ^a   Laquerre, Pierre François ^a  

^a NEC LABORATORIES AMERICA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC RETRIEVAL; CONCEPT DETECTION; MEDICAL CONCEPTS; MEDICAL RECORD; RETRIEVAL MODELS; SIMPLE++; TEXT RETRIEVAL CONFERENCES; THIRD PLACES;

EID: 84928314453     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. E. Voorhees and R. Tong. Overview of the TREC 2011 medical records track. In The Twentieth Text REtrieval Conference Proceedings TREC, 2011.
2. Alan R. Aronson. Effective mapping of biomedical text to the umls metathesaurus: The metamap program, 2001.
3. A.T. McCray, S.J. Nelson, et al. The representation of meaning in the umls. Methods of information in medicine, 34(1-2):193, 1995.
4. H. Fang, T. Tao, and C.X. Zhai. A formal study of information retrieval heuristics. In Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, pages 49–56. ACM, 2004.
5. S. Robertson and H. Zaragoza. The probabilistic relevance framework: BM25 and beyond, volume 3. Now Publishers Inc, 2009.
6. C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to ad hoc information retrieval. In Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, pages 334–342. ACM, 2001.
7. Trevor Strohman, Donald Metzler, Howard Turtle, and W. Bruce Croft. Indri: a language-model based search engine for complex queries. Technical report, in Proceedings of the International Conference on Intelligent Analysis, 2005.
8. T.Y. Liu. Learning to rank for information retrieval. Foundations and Trends in Information Retrieval, 3(3):225–331, 2009.
9. B. Bai, J. Weston, D. Grangier, R. Collobert, K. Sadamasa, Y. Qi, O. Chapelle, and K. Weinberger. Supervised semantic indexing. In Proceeding of the 18th ACM conference on Information and knowledge management, pages 187–196. ACM, 2009.
10. S. Deerwester, S. T. Dumais, G. W. Furnas, T.K. Landauer, and R. Harsh-man. Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41, 1990.
11. Radim Řehůřek and Petr Sojka. Software Framework for Topic Modelling with Large Corpora. In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, pages 45–50, Valletta, Malta, May 2010. ELRA. http://is.muni.cz/publication/884893/en.
12. G. Cao, J.Y. Nie, J. Gao, and S. Robertson. Selecting good expansion terms for pseudo-relevance feedback. In Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, pages 243–250. ACM, 2008.
13. V. Lavrenko and W.B. Croft. Relevance based language models. In Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, pages 120–127. ACM, 2001.
14. E. Voorhees and W. Hersh. Overview of the TREC 2012 medical records track. In The Twenty First Text REtrieval Conference Proceedings TREC, 2012.