Natural language is a powerful knowledge representation system: the UNO model
Natural language processing and knowledge representation
Enriching the WordNet taxonomy with contextual knowledge acquired from text
Natural language processing and knowledge representation
Acquiring word-meaning mappings for natural language interfaces
Journal of Artificial Intelligence Research
Acquiring correct knowledge for natural language generation
Journal of Artificial Intelligence Research
Unpacking meaning from words: a context-centered approach to computational lexicon design
CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
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We discuss a computational mechanism for comparing and integrating lexical definitional knowledge, meanings and concept definitions of English words and phrases available from different sources such as dictionaries, encyclopedias, corpora of texts, and personal beliefs. Such a mechanism is needed in order to automate comparison and reconciliation of the definitional differences because completeness and correctness of definitional knowledge seriously affect the results of text processing, particularly classification, question answering, and summarization.