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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Language: | ENG |
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ScholarWorks@UMass Amherst
1997
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Online Access: | https://scholarworks.umass.edu/dissertations/AAI9721493 |