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Argument Mining: Linguistic Foundations

Mathilde Janier, Patrick Saint-Dizier, 1786303035, 978-1786303035, 9781786303035, B07ZKSJ4MG

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English | 2019 | PDF | 5 MB | 207 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.