Generative Lexicon by James Pustejovsky
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Generative Lexicon
By James Pustejovsky

The Generative Lexicon

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Generative Lexicon by James Pustejovsky

Book Description

The Generative Lexicon presents a novel and exciting theory of lexical semantics that addresses the problem of the "multiplicity of word meaning"; that is, how we are able to give an infinite number of senses to words with finite means. The first formally elaborated theory of a generative approach to word meaning, it lays the foundation for an implemented computational treatment of word meaning that connects explicitly to a compositional semantics. In contrast to the static view of word meaning (where each word is characterized by a predetermined number of word senses) that imposes a tremendous bottleneck on the performance capability of any natural language processing system, Pustejovsky proposes that the lexicon becomes an active -- and central -- component in the linguistic description. The essence of his theory is that the lexicon functions generatively, first by providing a rich and expressive vocabulary for characterizing lexical information; then, by developing a framework for manipulating fine-grained distinctions in word descriptions; and finally, by formalizing a set of mechanisms for specialized composition of aspects of such descriptions of words, as they occur in context, extended and novel senses are generated. The subjects covered include semantics of nominals (figure/ground nominals, relational nominals, and other event nominals); the semantics of causation (in particular, how causation is lexicalized in language, including causative/unaccusatives, aspectual predicates, experiencer predicates, and modal causatives); how semantic types constrain syntactic expression (such as the behavior of type shifting and type coercion operations); a formal treatment of event semantics with subevents); and a general treatment of the problem of polysemy. Language, Speech, and Communication series

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Book Details

ISBN: 9780262661409
ISBN-10: 0262661403
Format: Paperback
(229mm x 152mm x 15mm)
Pages: 312
Imprint: MIT Press
Publisher: MIT Press Ltd
Publish Date: 5-Mar-1998
Country of Publication: United States

Books By Author James Pustejovsky

Natural Language Annotation for Machine Learning by James Pustejovsky Natural Language Annotation for Machine Learning, Paperback (November 2012)

Create your own natural language training corpus for machine learning. This example-driven book walks you through the annotation cycle, from selecting an annotation task and creating the annotation specification to designing the guidelines, creating a "gold standard" corpus, and then beginning the actual data creation with the annotation process.

Interpreting Motion by James Pustejovsky Interpreting Motion, Hardback (February 2012)

Interpreting Motion shows how language structures constrain concepts of motion, analyzing the semantics of motion expressions in a range of contexts from route navigation to textual description. It is written for a broad audience including linguists, cognitive and computer scientists, and those working in GIS and artificial intelligence.

Constructions at Work by James Pustejovsky Constructions at Work, Paperback (December 2005)

This book investigates the nature of generalization in language and examines how language is known by adults and acquired by children. It looks at how and why constructions are learned, the relation between their forms and functions, and how cross-linguistic and language-internal generalizations about them can be explained.

Language of Time by James Pustejovsky Language of Time, Paperback (May 2005)

Collects and introduces work in linguistics, computer science, artificial intelligence, and computational linguistics on the use of linguistic devices in natural languages to situate events in time: whether they are past, present, or future. This reader includes self-contained editorial introductions to each area.

» View all books by James Pustejovsky


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Recent books by James Pustejovsky close
Natural Language Annotation for Machine Learning by James Pustejovsky
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