Inheritance, Defaults and the Lexicon

Valeria de Paiva editor Ted Briscoe editor Ann Copestake editor

Format:Hardback

Publisher:Cambridge University Press

Published:28th Jan '94

Currently unavailable, and unfortunately no date known when it will be back

This hardback is available in another edition too:

Inheritance, Defaults and the Lexicon cover

This collection describes techniques of lexical representation within a unification-based framework.

The lexicon is now a major focus of research in computational linguistics and natural language processing (NLP). This collection describes techniques of lexical representation within a unification-based framework and their linguistic application, concentrating on the issue of structuring the lexicon using inheritance and defaults.The lexicon is now a major focus of research in computational linguistics and natural language processing (NLP), as more linguistic theories concentrate on the lexicon and as the acquisition of an adequate vocabulary has become the chief bottleneck in developing practical NLP systems. This collection describes techniques of lexical representation within a unification-based framework and their linguistic application, concentrating on the issue of structuring the lexicon using inheritance and defaults. Topics covered include typed feature structures, default unification, lexical rules, multiple inheritance and non-monotonic reasoning. The contributions describe both theoretical results and implemented languages and systems, including DATR, the Stuttgart TFS and ISSCO's ELU. This book arose out of a workshop on default inheritance in the lexicon organized as a part of the Esprit ACQUILEX project on computational lexicography. Besides the contributed papers mentioned above, it contains a detailed description of the ACQUILEX lexical knowledge base (LKB) system and its use in the representation of lexicons extracted semi-automatically from machine-readable dictionaries.

'A very valuable description … should be available in all centres of artificial intelligence.' Artificial Intelligence Review

ISBN: 9780521430272

Dimensions: 237mm x 155mm x 25mm

Weight: 535g

308 pages