Abstract
Camille, the Contextual Acquisition Mechanism for Incremental Lexeme LEarning, was implemented as an addition to Lytinen's LINK parser for use in an information extraction task, automatically inferring the meanings of unknown words from context. Unlike many previous lexical acquisition systems, Camille was thoroughly tested within a complex, real-world domain. The implementation of this system produced many lessons which are applicable to language learning in general. This paper describes Camille's implications for evaluation, for knowledge representation, and for cognitive modeling.
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Hastings, P.M. (1996). Implications of an automatic lexical acquisition system. In: Wermter, S., Riloff, E., Scheler, G. (eds) Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing. IJCAI 1995. Lecture Notes in Computer Science, vol 1040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60925-3_52
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DOI: https://doi.org/10.1007/3-540-60925-3_52
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