Using Lexical Chaining to Rank Protein-Protein Interactions in Biomedical Text
نویسندگان
چکیده
Biomedical information extraction is becoming an increasingly important application of Computational Linguistics research. We propose a method for analyzing full-text articles on protein interactions that takes a discourse-based approach to provide a means of ranking the biological validity of such interactions. Specifically, we use lexical chaining—strings of semantically related words—as an indicator of the validity of the protein interactions appearing in the same textual context.
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