SemEval-2015 Task 6: Clinical TempEval, Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pp.806-814, 2015. ,
DOI : 10.18653/v1/S15-2136
French TimeBank: An ISO- TimeML Annotated Reference Corpus, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Short Papers, pp.130-134, 2011. ,
URL : https://hal.archives-ouvertes.fr/halshs-00751076
Offspring from Reproduction Problems: What Replication Failure Teaches Us, ACL (1) The Association for Computer Linguistics, pp.1691-1701, 2013. ,
De-identification of clinical notes in French: towards a protocol for reference corpus development, Journal of Biomedical Informatics, vol.50, 2014. ,
DOI : 10.1016/j.jbi.2013.12.014
Extraction of events and temporal expressions from clinical narratives, Journal of Biomedical Informatics, vol.46, p.10, 2013. ,
DOI : 10.1016/j.jbi.2013.08.010
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data, Proceedings of the Eighteenth International Conference on Machine Learning , ICML '01, pp.282-289, 2001. ,
Practical Very Large Scale CRFs, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp.504-513, 2010. ,
Chinese Temporal Tagging with HeidelTime, Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pp.133-137, 2014. ,
DOI : 10.3115/v1/E14-4026
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.652.663
The TimeBank corpus. Corpus Linguistics, pp.647-656, 2003. ,
ISO-TimeML: An International Standard for Semantic Annotation, Proceedings of the Seventh International Conference on Language Resources and Evaluation, pp.394-401, 2010. ,
Probabilistic Part-of-Speech Tagging Using Decision Trees, International Conference on New Methods in Language Processing, 1994. ,
BRAT: A Web-based Tool for NLPassisted Text Annotation Association for Computational Lin- guistics, Proceedings of the Demonstrations at the 13th Conference of the European Chapter, pp.102-107, 2012. ,
Heidel- Time: High Quality Rule-based Extraction and Normalization of Temporal Expressions, Proceedings of the 5th International op on Semantic Evaluation, SemEval '10, pp.321-324, 2010. ,
Temporal Tagging on Different Domains: Challenges, Strategies, and Gold Standards, Nicoletta Calzolari (Conference Chair) Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12), 2012. ,
Time for More Languages, ACM Transactions on Asian Language Information Processing, vol.13, issue.1, pp.1-21, 2014. ,
DOI : 10.1007/s10579-011-9147-y
Extending HeidelTime for Temporal Expressions Referring to Historic Dates, Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14) European Language Resources Association (ELRA), pp.2390-2397, 2014. ,
Annotating temporal information in clinical narratives, Journal of Biomedical Informatics, vol.46, pp.5-12, 2013. ,
DOI : 10.1016/j.jbi.2013.07.004
URL : http://doi.org/10.1016/j.jbi.2013.07.004
Evaluating temporal relations in clinical text: 2012 i2b2 Challenge, Journal of the American Medical Informatics Association, vol.20, issue.5, pp.806-813, 2013. ,
DOI : 10.1136/amiajnl-2013-001628
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3756273
SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations, Proceedings of the 7th International Workshop on Semantic Evaluation, pp.1-9, 2013. ,
Temporal Expressions in Swedish Medical Text ??? A Pilot Study, Proceedings of BioNLP 2014, pp.88-92, 2014. ,
DOI : 10.3115/v1/W14-3413
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.674.2014
SemEval-2007 task 15, Proceedings of the 4th International Workshop on Semantic Evaluations, SemEval '07, 2007. ,
DOI : 10.3115/1621474.1621488
Annotating the biomedical literature for the human variome, Database, vol.2013, issue.0, pp.19-019, 2013. ,
DOI : 10.1093/database/bat019
Negation???s Not Solved: Generalizability Versus Optimizability in Clinical Natural Language Processing, PLoS ONE, vol.17, issue.11, p.112774, 2014. ,
DOI : 10.1371/journal.pone.0112774.t006
URL : http://doi.org/10.1371/journal.pone.0112774