000			01730nam a2200229Ia 4500
003			PH-LCIC
005			20251015150808.0
008			240527s2019 xx 000 0 und d
020			_a9781786303035
040			_cLCIC LIBRARY
082			_aRES 025.0425 J25
100			_aMathilde Janier _eAuthor
245		0	_aArgument mining : _blinguistic foundations /
260			_aLondon : _bWiley, _c2019.
300			_a9275 pages; _b 1 online resource : illustrations
300			_a9275 pages;
520			_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			_aCOMPUTERS Databases Data Mining
650			_aInformation Storage and Retrieval
700			_aPatrick Saint-Dizier _eAuthor
942			_2ddc _cRES
999			_c2590 _d2590