Database Management White Papers

Bidirectional Incremental Parsing for Automatic Pathway Identification with Combinatory Categorial Grammar

Overview This paper describes an implemented system that utilizes combinatory categorial grammar known to be competent in modeling natural language, with a controlled mechanism for the parser to operate bidirectionally and incrementally. It discusses the performance of the system on a large set of abstracts in Medline with quite encouraging results. The need for automating the process of extracting and analyzing natural language assertions about protein-protein interactions in biomedical publications is well recognized, given the ever increasing volume and importance of the archived collection of natural language documents in databases such as Medline. The field has two complementary aspects from the natural language processing perspective. On the one hand, the terminology is not only immense already but also rapidly growing, challenging the use of a pre-defined lexicon alone. On the other, the type of interactions is relatively fixed, where one can find corresponding natural language predicates in a pre-determined manner.

Further White Paper Details
PublisherStanford Knowledgebase File FormatPDF, requires Acrobat Rdr 5
Date PublishedSeptember 2001 Downloads93
FormatWhite Papers   
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