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A Computational Theory of Vocabulary Acquisition
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41481962 |
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inglés
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A Computational Theory of Vocabulary Acquisition |
| $msg.ficha_details_authors |
William J. Rapaport,Karen Ehrlich
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| $msg.ficha_details_location |
http://citeseer.ist.psu.edu/47967.html
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1.0 |
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Final
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| $msg.ficha_details_description |
As part of an interdisciplinary project to develop a computational cognitive model of a reader of narrative text, we are
developing a computational theory of how natural-language-understanding systems can automatically acquire new
vocabulary by determining from context the meaning of words that are unknown, misunderstood, or used in a new
sense. `Context' includes surrounding text, grammatical information, and background knowledge, but no external
sources. Our thesis is that the meaning of such a word can be determined from context, can be revised upon further
encounters with the word, "converges" to a dictionary-like definition if enough context has been provided and there
have been enough exposures to the word, and eventually "settles down" to a "steady state" that is always subject
to revision upon further encounters with the word. The system is being implemented in the SNePS knowledgerepresentation
and reasoning system.
This essay is forthcoming as a chapter in Iwanska, L/ucja, & S...
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ps
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William J. Rapaport,Karen Ehrlich A Computational Theory of Vocabulary Acquisition
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Expositivo
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muy bajo
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Estudiante
Profesor
Autor
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Atomic |
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no
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sí
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unrestricted |
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ps
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Browser: Any
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[IsBasedOn] http://www.cs.buffalo.edu/~rapaport/Papers/krnlp.tr.ps
[References] oai:CiteSeerPSU:5341
[References] oai:CiteSeerPSU:582307
[References] oai:CiteSeerPSU:388611
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| $msg.ficha_details_submissiondate |
31-mar-2009 |
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