Data-Driven Dialogue Models: Applying Formal and Computational Tools to the Study of Financial And Moral Dialogues
| Autor: | Olena Yaskorska-Shah |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
computational tools in argument analysis 0102 computer and information sciences 06 humanities and the arts data driven dialogue systems 0603 philosophy ethics and religion 01 natural sciences Data science Data-driven Philosophy 010201 computation theory & mathematics AZ20-999 060302 philosophy History of scholarship and learning. The humanities corpus studies |
| Zdroj: | Studies in Logic, Grammar and Rhetoric, Vol 63, Iss 1, Pp 185-208 (2020) |
| ISSN: | 2199-6059 0860-150X |
| 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: | OpenAIRE |
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