Read Anywhere and on Any Device!

Subscribe to Read | $0.00

Join today and start reading your favorite books for Free!

Create Free Account

Argument Mining: Linguistic Foundations

Patrick Saint-Dizier

0/5 ( ratings)

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.

Pages: 202

Format: ebook

Publisher: Wiley-Iste

Release: October 15, 2019

ISBN: 1119671167

ISBN 13: 9781119671169

Argument Mining: Linguistic Foundations

Patrick Saint-Dizier

0/5 ( ratings)

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.

Pages: 202

Format: ebook

Publisher: Wiley-Iste

Release: October 15, 2019

ISBN: 1119671167

ISBN 13: 9781119671169

More books from Patrick Saint-Dizier

Musical Rhetoric: Foundations and Annotation Schemes

Predicative Forms in Natural Language and in Lexical Knowledge Bases

Challenges of Discourse Processing: The Case of Technical Documents

Syntax and Semantics of Prepositions

Argument Mining: Linguistic Foundations

Computational Lexical Semantics (Studies in Natural Language Processing)

Rate this book!

Write a review?