1.

Record Nr.

UNINA9910830901603321

Autore

Janier Mathilde

Titolo

Argument mining : linguistic foundations / / Mathilde Janier, Patrick Saint-Dizier

Pubbl/distr/stampa

London, England ; ; Hoboken, New Jersey : , : Iste : , : Wiley, , [2019]

©2019

ISBN

1-119-67104-3

1-119-67116-7

1-119-50729-4

Edizione

[1st edition]

Descrizione fisica

1 online resource (207 pages)

Disciplina

025.524

Soggetti

Information retrieval

Natural language processing (Computer science)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

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.