000			01837nam a2200229 4500
005			20250714153857.0
008			250714b2019|||||||| |||| 00| 0 eng d
020			_a9781119671169
041			_aEnglish
082			_a006.8
100			_aJanier, Mathilde _eAuthor _96503
100			_aSaint-Dizier, Patrick _eCo-Author _96504
245			_aArgument mining: linguistic foundations
260			_a New Jersey: _bWiley Data and Cybersecurity, _c2019.
300			_axi, 175p.
500			_aThis 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
650			_aArgumentation to Argument Mining _96505
650			_aArgument Mining Applications and Systems _96506
650			_aAnnotation Frameworks and Principles of Argument Analysis _96507
856			_uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=9820811
942			_cEB
999			_c1615 _d1615