Semantic Processing for Finite Domains
Cambridge University Press (2006)
| Abstract | A primary problem in the area of natural language processing has been semantic analysis. This book looks at the semantics of natural languages in context. It presents an approach to the computational processing of English text that combines current theories of knowledge representation and reasoning in Artificial Intelligence with the latest linguistic views of lexical semantics. The book will interest postgraduates and researchers in computational linguistics as well as industrial research groups specializing in natural language processing. | |||||||||
| Keywords | Semantics Data processing Computational linguistics | |||||||||
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| Buy the book | $46.01 new (12% off) $52.00 direct from Amazon Amazon page | |||||||||
| Call number | P325.5.D38.P35 2006 | |||||||||
| ISBN(s) | 052102403X 9780521024037 | |||||||||
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J. Pustejovsky & Bran Boguraev (eds.) (1997). Lexical Semantics: The Problem of Polysemy. Oxford University Press.
Eugene Charniak & Yorick Wilks (eds.) (1976). Computational Semantics: An Introduction to Artificial Intelligence and Natural Language Comprehension. Distributors for the U.S.A. And Canada, Elsevier/North Holland.
Graeme Hirst (1987). Semantic Interpretation and the Resolution of Ambiguity. Cambridge University Press.
Sebastian Padó (2007). Cross-Lingual Annotation Projection Models for Role-Semantic Information. Saarland University.
Jan van Bakel (1984). Automatic Semantic Interpretation: A Computer Model of Understanding Natural Language. Foris Publications.
Patrick Blackburn (2005). Representation and Inference for Natural Language: A First Course in Computational Semantics. Center for the Study of Language and Information.
Chris Fox (2005). Foundations of Intensional Semantics. Blackwell Pub..
Patrick Saint-Dizier & Evelyne Viegas (eds.) (1995). Computational Lexical Semantics. Cambridge University Press.
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