UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts
نویسنده
چکیده
The domain of DDI identification is constantly showing a rise of interest from scientific community since it represents a decrease of time and healthcare cost. In this paper we purpose a new approach based on shallow linguistic kernel methods to identify DDIs in biomedical manuscripts. The approach outlines a first step in the usage of semantic information for DDI identification. The system obtained an F1 measure of 0.534.
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تاریخ انتشار 2013