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.


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Argument Mining

Discourse analysis and rhetoric are very much developed in communication, linguistics, cognitive science and artificial intelligence. Besides theoretical investigations, discourse analysis is central in a number of application areas such as dialogue and negotiation, the semantic web, question answering or authoring systems. Music is also a natural language, more abstract and mathematical, which follows very strict construction principles. However, there is very limited and no recent literature on Music Discourse analysis using computational principles. This book aims at developing a central issue in musical discourse: modeling rhetoric and argumentation. It also contributes to the development of high-level multimedia annotation schemes for non-verbal communication. 

Patrick Saint-Dizier

Книги автора: Patrick Saint-Dizier