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Text Generation (Studies in Natural Language Processing), by Kathleen McKeown
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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.
- Sales Rank: #3099162 in Books
- Brand: Brand: Cambridge University Press
- Published on: 1992-06-26
- Original language: English
- Number of items: 1
- Dimensions: 8.98" h x .59" w x 5.98" l, .80 pounds
- Binding: Paperback
- 260 pages
- Used Book in Good Condition
Review
..."important reading for anyone either working in or just trying to keep up with natural language processing." Computational Linguistics
'... important reading for anyone either working in or just trying to keep up with natural language processing.' Computational Linguistics
.,."important reading for anyone either working in or just trying to keep up with natural language processing." Computational Linguistics
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.
About the Author
Steven Bird is Associate Professor in the Department of Computer Science and Software Engineering at the University of Melbourne, and Senior Research Associate in the Linguistic Data Consortium at the University of Pennsylvania. He completed a PhD on computational phonology at the University of Edinburgh in 1990, supervised by Ewan Klein. He later moved to Cameroon to conduct linguistic fieldwork on the Grassfields Bantu languages under the auspices of the Summer Institute of Linguistics. More recently, he spent several years as Associate Director of the Linguistic Data Consortium where he led an R&D team to create models and tools for large databases of annotated text. At Melbourne University, he established a language technology research group and has taught at all levels of the undergraduate computer science curriculum. In 2009, Steven is President of the Association for Computational Linguistics.
Martin Kay is professor of linguistics at Stanford University and an honorary professor at the University of Saarland, Germany. He is a past president of the Association for the Computational Linguistics and resigned the chairmanship of the International Committee on Computational Linguistics in 2014, having served in that capacity for thirty years.
David McDonald is professor of global development studies at Queen s University, Canada. He is also co-director of the Municipal Services Project, a research initiative exploring alternatives to the privatization of service provision in electricity, health, water, and sanitation in Africa, Asia, and Latin America.
Yorick Wilks is Professor of... in the Department of Computer Science, University of Sheffield
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