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Janier, Mathilde

Argument Mining: Linguistic Foundations

Janier, Mathilde - Argument Mining: Linguistic Foundations, ebook

126,95€

Ebook, PDF with Adobe DRM
ISBN: 9781119671169
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Printing61 pages with an additional page accrued every 12 hours, capped at 61 pages
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This book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language processing technology. While the first four chapters develop the linguistic and conceptual aspects of argument expression, the last four are devoted to their application to argument mining. These chapters investigate the facets of argument annotation, as well as argument mining system architectures and evaluation. How annotations may be used to develop linguistic data and how to train learning algorithms is outlined. A simple implementation is then proposed. The book ends with an analysis of non-verbal argumentative discourse. Argument Mining is an introductory book for engineers or students of linguistics, artificial intelligence and natural language processing. Most, if not all, the concepts of argumentation crucial for argument mining are carefully introduced and illustrated in a simple manner.

Keywords: argumentation; argumentative texts; argumentation mining; argument mining; annotation efforts; annotation corpora; annotation guidelines; opinion analysis; argument components; argumentative schemes; argumentation process, Data Mining Statistics, Data Mining Statistics

Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2019
Language
en
Edition
1
Page amount
202 pages
Format
Ebook
eISBN (PDF)
9781119671169
Printed ISBN
9781786303035

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