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  Natural Language Processing And Knowledge Representation
 

Natural Language Processing And Knowledge Representation

by Iwanska, Lucja M. And Stuart C. Shapiro ( Eds.)

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  Natural language refers to human language—complex, irregular, diverse, with all its philosophical problems of meaning and context. This book explores the development of knowledge representation and reasoning systems that take seriously the role of natural language in human information and knowledge processing. The essays in this interdisciplinary book cover a range of implementations and designs, from formal computational models to large-scale natural language processing systems. *Contents Section 1: Formal, computational, representations and inference methods based on natural language: Natural language is a powerful knowledge representation system; Natural language syntax and first order inference; Issues in the representation of real texts; Episodic logic meets little red riding hood; SnePS; Section 2: Knowledge representation and acquisition for large- scale, general-purpose natural language processing systems: A multi-level approach to interlingual machine translation; Uniform natural (language) spatio-temporal logic; Mixed depth representations for dialog processing; Enriching the WordNet taxonomy with contextual knowledge acquired from text; Fully automatic acquisition of taxonomic knowledge from large corpora of texts; A computational theory of vocabulary acquisition; Appendices; Bibliography; Index. 459 pp (2001) 216 × 280 mm ISBN 81 7371 391 X
 


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