Data-Driven Dialogue Models: Applying Formal and Computational Tools to the Study of Financial And Moral Dialogues

Autor:	Yaskorska-Shah Olena
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	data driven dialogue systems corpus studies computational tools in argument analysis History of scholarship and learning. The humanities AZ20-999
Zdroj:	Studies in Logic, Grammar and Rhetoric, Vol 63, Iss 1, Pp 185-208 (2020)
Druh dokumentu:	article
ISSN:	0860-150X 2199-6059
DOI:	10.2478/slgr-2020-0034
Popis:	This paper proposes two formal models for understanding real-life dialogues, aimed at capturing argumentative structures performatively enacted during conversations. In the course of the investigation, two types of discourse with a high degree of well-structured argumentation were chosen: moral debate and financial communication. The research project found itself confronted by a need to analyse, structure and formally describe large volumes of textual data, where this called for the application of computational tools. It is expected that the results of the proposed research will make a contribution to formal systems modelling and the evaluation of communication from the point of view of argument soundness.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/e02e9819e5d34530b57b63cb4b37caa1 Zobrazit plný text záznamu View record in DOAJ