Tuning HeidelTime for identifying time expressions in clinical texts in English and French

Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis, Louhi 2014 at the 14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014

Volumn , Issue , 2014, Pages 101-105

  Hamon, Thierry ^a   Grabar, Natalia ^b  

^a SORBONNE UNIVERSITÉ   (France)

^b UNIVERSITÉ DE LILLE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL EXPRESSION; F MEASURE; LINGUISTIC RESOURCES; NORMALISATION; TEMPORAL EXPRESSIONS;

EID: 84981284543     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. ACE challenge. 2004. The ACE 2004 evaluation plan. evaluation of the recognition of ace entities, ace relations and ace events. Technical report, ACE challenge. http://www.itl.nist.gov/iad/mig/tests/ace/2004.
2. V Bashyam and Ricky K Taira. 2006. Indexing anatomical phrases in neuro-radiology reports to the UMLS 2005aa. In AMIA, pages 26-30.
3. Iyad Batal, Lucia Sacchi, Riccardo Bellazzi, and Milos Hauskrecht. 2009. A temporal abstraction framework for classifying clinical temporal data. In AMIA Annu Symp Proc. 2009, pages 29-33.
4. Angel X. Chang and Christopher D. Manning. 2012. SUTIME: A library for recognizing and normalizing time expressions. In LREC, pages 3735-3740.
5. Roger A. Côté, D. J. Rothwell, J. L. Palotay, R. S. Beckett, and Louise Brochu. 1993. The Systematised Nomenclature of Human and Veterinary Medicine: SNOMED International. College of American Pathologists, Northfield.
6. Neil Davis, Henk Harlema, Rob Gaizauskas, Yikun Guo, Moustafa Ghanem, Tom Barnwell, Yike Guo, and Jon Ratcliffe. 2006. Three approaches to GO-tagging biomedical abstracts. In Udo Hahn and Michael Poprat, editors, SMBM, pages 21 - 28, Jena, Germany.
7. Cyril Grouin, Natalia Grabar, Thierry Hamon, Sophie Rosset, Xavier Tannier, and Pierre Zweigenbaum. 2013. Hybrid approaches to represent the clinical patient's timeline. J Am Med Inform Assoc, 20(5):820-7.
8. William Hsu, Ricky K Taira, Suzie El-Saden, Hooshang Kangarloo, and Alex AT Bui. 2012. Context-based electronic health recond: toward patient specific healthcare. IEEE Transactions on information technology in biomedicine, 16(2):228-234.
9. Remy Kessler, Xavier Tannier, Caroline Hagge, Vronique Moriceau, and Andr Bittar. 2012. Finding salient dates for building thematic timelines. In 50th Annual Meeting of the Association for Computational Linguistics, pages 730-739.
10. Robert E Mercer and Chrysanne Di Marco. 2004. A design methodology for a biomedical literature indexing tool using the rhetoric of science. In HLTNAACL 2004, Workshop Biolink, pages 77-84.
11. Vronique Moriceau and Xavier Tannier. 2014. French resources for extraction and normalization of temporal expressions with heideltime. In LREC.
12. Robert Moskovitch and Yuval Shahar. 2009. Medical temporal-knowledge discovery via temporal abstraction. In AMIA Annu Symp Proc, pages 452-456.
13. P Nadkarni, R Chen, and C Brandt. 2001. Umls concept indexing for production databases: a feasibility study. J Am Med Inform Assoc, 8(1):80-91.
14. National Library of Medicine, Bethesda, Maryland, 2001. Medical Subject Headings. www.nlm.nih.gov/mesh/meshhome.html.
15. James Pustejovsky, Kiyong Lee, Harry Bunt, and Laurent Romary. 2010. ISO-TimeML: An international standard for semantic annotation. In Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, and Daniel Tapias, editors, Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta, may. European Language Resources Association (ELRA).
16. Stefan Schulz and Udo Hahn. 2000. Morpheme-based, cross-lingual indexing for medical document retrieval. Int J Med Inform, 58-59:87-99.
17. Jannik Strötgen and Michael Gertz. 2012. Temporal tagging on different domains: Challenges, strategies, and gold standards. In Proceedings of the Eigth International Conference on Language Resources and Evaluation (LREC'12), pages 3746-3753. ELRA.
18. Weiyi Sun, Anna Rumshisky, and Özlem Uzuner. 2013. Evaluating temporal relations in clinical text: 2012 i2b2 challenge. JAMIA, 20(5):806-813.
19. Naushad UzZaman, Hector Llorens, Leon Derczynski, James Allen, Marc Verhagen, and James Pustejovsky. 2013. Semeval-2013 task 1: Tempeval-3: Evaluating time expressions, events, and temporal relations. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013), pages 1-9, Atlanta, Georgia, USA, June. Association for Computational Linguistics.
20. Marc Verhagen, Robert Gaizauskas, Frank Schilder, Mark Hepple, Graham Katz, and James Pustejovsky. 2007. Semeval-2007 task 15: Tempeval temporal relation identification. In Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007), pages 75-80, Prague, Czech Republic, June. Association for Computational Linguistics.
21. Marc Verhagen, Roser Sauri, Tommaso Caselli, and James Pustejovsky. 2010. Semeval-2010 task 13: Tempeval-2. In Proceedings of the 5th International Workshop on Semantic Evaluation, pages 57-62, Uppsala, Sweden, July. Association for Computational Linguistics.
22. AY Wang, JH Sable, and KA Spackman. 2002. The snomed clinical terms development process: refinement and analysis of content. In AMIA, pages 845-9.