Automatic acquisition of word meaning from context

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University of Michigan., 1994 - Natural language processing (Computer science) - 128 pages
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Abstract: "This thesis presents an automatic, incremental lexical acquisition mechanism that uses the context of example sentences to guide inference of the meanings of unknown words. The goal of this line of research is to allow a Natural Language Processing (NLP) system to cope with words that it does not know -- not just to gloss over them, but to try to infer what they mean. The environment within which this system operates is epitomized by the information extraction task: from virtually unconstrained text, elicit certain information that is deemed interesting. The knowledge acquisition bottleneck inherent in this task imposes constraints on the type of knowledge available for lexical inference.

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Contents

A LEXICAL ACQUISITION MECHANISM
19
VARIATIONS
48
RELATED COMPUTATIONAL APPROACHES
78
Copyright

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