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UC3M: A kernel-based approach to identify and classify DDIs in biomedical texts

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URI: https://hdl.handle.net/10016/20454
UXXI: CC/0000023265
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kernel_SEMEVAL_2013.pdf (404.34 KB)
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2013-06
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Association for Computational Linguistics
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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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Proceedings of: International Workshop on Semantic Evaluation. SemEval-2013 : Semantic Evaluation Exercises. Took place in 2013 June 14-15, in Atlanta, Georgia (USA). The event Web site in http://www.cs.york.ac.uk/semeval-2013/
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Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Seventh International Workshop on Semantic Evaluation (SemEval 2013), pp. 617–621
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