Automatic acquisition of word meaning from context
University of Michigan., 1994 - Natural language processing (Computer science) - 128 pages
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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A LEXICAL ACQUISITION MECHANISM
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Accuracy actor additional allows Camille ambiguous words applied approach Arson Assembly Line domain attached AutoSlog basic Bombing Camille 1.2 Camille performance Camille's chapter chart Check-Object Get Load child cognitive model concept hierarchy concept representation constituents Davra define-sem domain knowledge encountered evidence example sentences fast mapping Figure froobled grammar Head Rep Head Syn human Human-or-Place hypothesis set implementation information extraction task initial input is-a Kidnapping knowledge representation labels language acquisition lexical acquisition systems lexical acquisition task lexical definition lexical semantics lexicon linguistic LINK LINK's Load Lubricate Remove Lubricate Remove Restock Lytinen MayTag Mutual Exclusivity constraint node noun phrase object parse parser Parsimony Precision Production Recall psycholinguistic Recall refer Refinement Tree scores script applier script mechanism Selfridge semantic constraints slot fillers slot-fillers specific structure syntactic Terrorism domain Terrorist test set trainer unknown verb unknown word upper bound verb meanings verb phrase word meanings word-learning word's