Text Generation: Using Discourse Strategies and Focus Constraints to Generate Natural Language Text (Studies in Natural Language Processing)

McKeown

ISBN 10: 0521438020 / ISBN 13: 9780521438025

Published by Cambridge University Press, 2008

About this Item

Kathleen McKeown explores natural language text and presents a formal analysis of problems in a computer program, TEXT. Series Editor(s): Bird, Steven; HIndle, Don; Kay, Martin; McDonald, David; Uszkoreit, Hans; Wilks, Yorick. Series: Studies in Natural Language Processing. Num Pages: 260 pages, 34 line diagrams. BIC Classification: CF; UYQ. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 228 x 152 x 15. Weight in Grams: 390. . 2008. Revised ed. paperback. . . . .

Seller Inventory # V9780521438025

Bibliographic Details

• Title: Text Generation: Using Discourse Strategies and Focus Constraints to Generate Natural Language Text (Studies in Natural Language Processing)
• Publisher: Cambridge University Press
• Publication Date: 2008
• Language: English
• ISBN 10: 0521438020
• ISBN 13: 9780521438025
• Binding: Soft cover
• Condition: New

About this title

Synopsis

This book is concerned with the machine-based generation of natural language text and presents a formal analysis of problems, which in the main have previously only been approached descriptively. In the process of producing discourse, speakers and writers must decide what it is that they want to say and how to present it effectively. Kathleen McKeown's main concern is to identify and formalise principles of discourse so that they can be used in a computational process. The text generation theory she describes has been embodied in a computer program, TEXT, which, given a question, can produce a paragraph length response. An Appendix to the book provides examples of the TEXT system in operation.

From the Back Cover

'Text Generation' presents a formal analysis of problems which up till now have been approached descriptively. Kathleen McKeown's main concern is to identify and formalize principles of discourse so that they can be used in a computational process. This makes it a significant practical and theoretical advance in our understanding of how natural English text is produced. Its findings and conclusions will be of interest to a wide range of researchers in linguistics and artificial intelligence.