Extracting Semantic Predications from MEDLINE Citations for Pharmacogenomics.

Ahlers C, Fiszman M, Demner-Fushman D, Lang F, Rindflesch TC

Pacific Symposium on Biocomputing 2007 12:209-220

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Abstract:

We describe a natural language processing system (Enhanced SemRep) to identify core assertions on pharmacogenomics in Medline citations. Extracted information is represented as semantic predications covering a range of relations relevant to this domain. The specific relations addressed by the system provide greater precision than that achievable with methods that rely on entity co-occurrence. The development of Enhanced SemRep is based on the adaptation of an existing system and crucially depends on domain knowledge in the Unified Medical Language System. We provide a preliminary evaluation (55% recall and 73% precision) and discuss the potential of this system in assisting both clinical practice and scientific investigation.

Ahlers C, Fiszman M, Demner-Fushman D, Lang F, Rindflesch TC. Extracting Semantic Predications from MEDLINE Citations for Pharmacogenomics. 
Pacific Symposium on Biocomputing 2007 12:209-220

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