Representation and Inference for Natural Language: A First Course in Computational Semantics
Center for the Study of Language and Information (2005)
| Abstract | How can computers distinguish the coherent from the unintelligible, recognize new information in a sentence, or draw inferences from a natural language passage? Computational semantics is an exciting new field that seeks answers to these questions, and this volume is the first textbook wholly devoted to this growing subdiscipline. The book explains the underlying theoretical issues and fundamental techniques for computing semantic representations for fragments of natural language. This volume will be an essential text for computer scientists, linguists, and anyone interested in the development of computational semantics. | |||||||||
| Keywords | Semantics Data processing | |||||||||
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| Buy the book | $59.80 direct from Amazon (15% off) Amazon page | |||||||||
| Call number | P325.5.D38.B59 2005 | |||||||||
| ISBN(s) | 1575864967 1575864959 | |||||||||
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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.
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William J. Rapaport (1988). Syntactic Semantics: Foundations of Computational Natural Language Understanding. In James H. Fetzer (ed.), Aspects of AI. Kluwer.
Patrick Blackburn & Johan Bos (2003). Computational Semantics. Theoria 18 (1):27-45.
Patrick Saint-Dizier & Evelyne Viegas (eds.) (1995). Computational Lexical Semantics. Cambridge University Press.
Chris Fox (2005). Foundations of Intensional Semantics. Blackwell Pub..
Martha Stone Palmer (2006). Semantic Processing for Finite Domains. Cambridge University Press.
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