Mental models: towards a cognitive science of language, inference, and consciousness
Mental models: towards a cognitive science of language, inference, and consciousness
Artificial Intelligence
The ups and downs of lexical acquisition
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
A computational theory of vocabulary acquisition
Natural language processing and knowledge representation
Encyclopedia of Artificial Intelligence
Encyclopedia of Artificial Intelligence
Journal of Logic, Language and Information
Holism, Conceptual-Role Semantics, and Syntactic Semantics
Minds and Machines
Automatic labeling of semantic roles
Computational Linguistics
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
A graph model for unsupervised lexical acquisition
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Teaching Reading in the 21st Century (with Assessments and Lesson Plans Booklet) (4th Edition)
Teaching Reading in the 21st Century (with Assessments and Lesson Plans Booklet) (4th Edition)
Acquiring word-meaning mappings for natural language interfaces
Journal of Artificial Intelligence Research
In defense of contextual vocabulary acquisition
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
Minds and Machines
Semiotic Systems, Computers, and the Mind: How Cognition Could Be Computing
International Journal of Signs and Semiotic Systems
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Contextual vocabulary acquisition (CVA) is the active, deliberate acquisition of a meaning for an unknown word in a text by reasoning from textual clues, prior knowledge, and hypotheses developed from prior encounters with the word, but without external sources of help such as dictionaries or people. Published strategies for CVA vaguely and unhelpfully tell the reader to 'guess'. Artificial intelligence algorithms for CVA can fill in the details that replace 'guessing' by 'computing'; these details can then be converted to a curriculum that can be taught to students to improve their reading comprehension. Such algorithms also suggest a way out of the Chinese Room and show how holistic semantics can withstand certain objections.