Learning text analysis rules for domain-specific natural language processing

An enormous amount of knowledge is needed to infer the meaning of unrestricted natural language. The problem can be reduced to a manageable size by restricting attention to a specific domain, which is a corpus of texts together with a predefined set of concepts that are of interest to that domain. T...

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Bibliographic Details
Main Author: Soderland, Stephen Glenn
Language:ENG
Published: ScholarWorks@UMass Amherst 1997
Subjects:
Online Access:https://scholarworks.umass.edu/dissertations/AAI9721493