An architecture for a generic dialogue shell
Natural Language Engineering
Temporal reasoning for decision support in medicine
Artificial Intelligence in Medicine
MPLUS: a probabilistic medical language understanding system
BioMed '02 Proceedings of the ACL-02 workshop on Natural language processing in the biomedical domain - Volume 3
A temporal constraint structure for extracting temporal information from clinical narrative
Journal of Biomedical Informatics
Automating temporal annotation with TARSQI
ACLdemo '05 Proceedings of the ACL 2005 on Interactive poster and demonstration sessions
Journal of Biomedical Informatics
Time-oriented question answering from clinical narratives sing semantic-web techniques
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
BioNLP '11 Proceedings of BioNLP 2011 Workshop
Journal of Biomedical Informatics
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The automatic detection of temporal relations between events in electronic medical records has the potential to greatly augment the value of such records for understanding disease progression and patients' responses to treatments. We present a three-step methodology for labeling temporal relations using machine learning and deterministic rules over an annotated corpus provided by the 2012 i2b2 Shared Challenge. We first create an expanded training network of relations by computing the transitive closure over the annotated data; we then apply hand-written rules and machine learning with a feature set that casts a wide net across potentially relevant lexical and syntactic information; finally, we employ a voting mechanism to resolve global contradictions between the local predictions made by the learned classifier. Results over the testing data illustrate the contributions of initial prediction and conflict resolution.