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Computer Science - Artificial Intelligence | Words and Intelligence I

Words and Intelligence I

Selected Papers by Yorick Wilks

Ahmad, Khurshid, Brewster, Christopher, Stevenson, Mark (Eds.)

2007, XII, 280 p.

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  • The papers include descriptions of groundbreaking work on Machine Translation and Preference Semantics
  • The selected papers reflect Yorick Wilks' contribution to both practical and theoretical aspects of automatic language processing

Yorick Wilks is a central figure in the fields of Natural Language Processing and Artificial Intelligence. His influence extends to many areas and includes contributions to Machines Translation, word sense disambiguation, dialogue modeling and Information Extraction.

This book celebrates the work of Yorick Wilks in the form of a selection of his papers which are intended to reflect the range and depth of his work. The volume accompanies a Festschrift which celebrates his contribution to the fields of Computational Linguistics and Artificial Intelligence. The papers include early work carried out at Cambridge University, descriptions of groundbreaking work on Machine Translation and Preference Semantics as well as more recent works on belief modeling and computational semantics. The selected papers reflect Yorick’s contribution to both practical and theoretical aspects of automatic language processing.

This book forms a two-part set together with Words and Intelligence II: Essays in Honor of Yorick Wilks, a collection of original contributions from eminent scientists, by the same editors.

Content Level » Research

Keywords » Artificial - Computational - Language - Machine - Natural - Processing - Semantics - Translation - artificial intelligence - computational linguistics - intelligence - linguistics - machine translation - natural language - semantic

Related subjects » Artificial Intelligence - Linguistics - Philosophy

Table of contents 

Text Searching with Templates.- Decidability and Natural Language.- The Stanford Machine Translation Project.- An Intelligent Analyzer and Understander of English.- A Preferential, Pattern-Seeking, Semantics for Natural Language Inference.- Good and Bad Arguments About Semantic Primitives.- Making Preferences More Active.- Providing Machine Tractable Dictionary Tools.- Belief Ascription, Metaphor, and Intensional Identification.- Stone Soup and the French Room.- Senses and Texts.

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