LIMSI at SemEval-2016 task 12: Machine-learning and temporal information to identify clinical EVENTS and time expressions

SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings

Volumn , Issue , 2016, Pages 1225-1230

  Grouin, Cyril ^a   Moriceau, Véronique ^b  

^a Laboratoire Interdisciplinaire des Sciences du Numérique   (France)

^b CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

SEMANTICS;

CRF MODELS; POST PROCESSING; RULE BASED; TEMPORAL INFORMATION;

MACHINE LEARNING;

EID: 85035758619     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/s16-1190     Document Type: Conference Paper

References (10)

1. Steven Bethard, Guergana Savova, Wei-Te Chen, Leon Derczynski, James Pustejovsky, and Marc Verhagen. 2016. Semeval-2016 task 12: Clinical tempeval. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), San Diego, California, June. Association for Computational Linguistics.
2. Peter F Brown, Vincent J Della Pietra, Peter V de Souza, Jenifer C Lai, and Robert L Mercer. 1992. Classbased n-gram models of natural language. Computational Linguistics, 18(4):467-79.
3. John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001. Conditional Random Fields: Probabilistic models for segmenting and labeling sequence data. In Proc of ICML, pages 282-9, Williamstown, MA.
4. Thomas Lavergne, Olivier Cappé, and François Yvon. 2010. Practical very large scale CRFs. In Proc of ACL, pages 504-13, Uppsala, Sweden, July.
5. Percy Liang. 2005. Semi-supervised learning for natural language. Master's thesis, Massachusetts Institute of Technology.
6. Danielle L Mowery, Sumithra Velupillai, Brett R South, Lee Christiensen, David Martinez, Liadh Kelly, Lorraine Goeuriot, Noémie Elhadad, Sameer Pradhan, Guergana K Savova, and Wendy W Chapman. 2014. Task 2: ShARe/CLEF eHealth evaluation lab 2014. In CLEF2014 Working Notes, volume 1180, Sheffield, UK.
7. Helmut Schmid. 1994. Probabilistic part-of-speech tagging using decision trees. In Proc of International Conference on New Methods in Language.
8. Jannik Strötgen and Michael Gertz. 2010. Heideltime: high quality rule-based extraction and normalization of temporal expressions. In Proc of SemEval.
9. Jannik Strötgen and Michael Gertz. 2013. Multilingual and cross-domain temporal tagging. Language Resources and Evaluation, 47(2):269-298.
10. Amber Stubbs, Christopher Kotfila, Hua Xu, and Ozlem Uzuner. 2015. Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task track 2. J Biomed Inform, 58:S67-S77.