Data-Driven Dialogue Models: Applying Formal and Computational Tools to the Study of Financial And Moral Dialogues
- Olena Yaskorska-Shah
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.
- Record ID
- Journal series
- Studies in Logic, Grammar and Rhetoric, ISSN 0860-150X
- Issue year
- Publication size in sheets
- Keywords in English
- data driven dialogue systems; corpus studies; computational tools in argument analysis.
- ASJC Classification
- DOI:10.2478/slgr-2020-0034 Opening in a new tab
- https://doi.org/10.2478/slgr-2020-0034 Opening in a new tab
- (en) English
- Score (nominal)
- Score source
- = 40.0, 05-07-2021, ArticleFromJournal
- Publication indicators
- : 2018 = 0.358
- Uniform Resource Identifier
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.