Bidirectional Incremental Parsing for Automatic Pathway Identification with Combinatory Categorial Grammar

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As the importance of automatically extracting and analyzing various natural language assertions about protein-protein interactions in biomedical publications is recognized, many uses of natural language processing techniques are proposed in the literature. However, most proposals to date make rather simplifying assumptions about the syntactic aspects of natural language due to various reasons including efficiency. In this paper, we describe an implemented system that utilizes combinatory categorical grammar known to be competent in modeling natural language, with a controlled mechanism for the parser to operate bidirectionally and incrementally. We discuss the performance of the system on a large set of abstracts in Medline with quite encouraging results.
Publisher
Pacific Symposium on Biocomputing (PSB)
Issue Date
2001-01-01
Language
English
Citation

Pacific Symposium on Biocomputing (PSB), pp.396 - 407

URI
http://hdl.handle.net/10203/136105
Appears in Collection
CS-Conference Papers(학술회의논문)
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