Argument mining linguistic foundations

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 fo...

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Bibliographic Details
Other Authors: Janier, Mathilde, author (author), Saint-Dizier, Patrick, author
Format: eBook
Language:Inglés
Published: London, England ; Hoboken, New Jersey : Iste [2019]
Edition:1st edition
Series:Information systems, web and pervasive computing series
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630911906719
Description
Summary: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.
Physical Description:1 online resource (207 pages)
Bibliography:Includes bibliographical references and index.
ISBN:9781119671046
9781119671169
9781119507291