Semantic medical relation classification

About

Medical Relation Classification, an information extraction task in the clinical domain that was defined in the 2010 i2b2/VA Challenge, involves determining the relation between a pair of medical concepts (problems, treatments, or tests) such as a treatment improves a problem, a test reveals a problem, etc. Eleven types of intra-sentential pairwise relations are annotated in the 2010 i2b2/VA corpus. A brief description of these relation types are provided in the following table.

Our ensemble-based approach to the Medical Relation Classification task is described in the following paper.

Jennifer D'Souza and Vincent Ng. 2014. Ensemble-Based Medical Relation Classification. In Proceedings of COLING. pp. 1682-1693.

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Download file with cue phrases for Medical Relation Classification.

Funding Statement

This work was supported in part by NSF Grants IIS-1147644 and IIS-1219142. Any opinions, findings, or conclusions expressed above are those of the authors and do not necessarily reflect the views or official policies of NSF.