NCU - IISR System for BioCreative BEL Task 1
نویسندگان
چکیده
Biological networks are important for biologists to represent and understand biological systems. These networks can be represented by languages such as BEL and SBML. Automatically extracting these descriptions and representing them in the biological system languages can improve the efficiency of constructing these networks. In this paper, we expand our previous Named Entity Recognition and Normalization systems for recognizing BEL abundances and processes. We use the Biomedical Semantic Role Labeling to parse the sentences into Predicate-Argument Structures (PASs), and transform these PASs into causal and correlative relationships. As for the BioCreative V BEL task 1, our proposed approach achieved an F-score of 19.66% on stage 1, and 33.08% on stage 2.
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