Data-Driven Dialogue Models: Applying Formal and Computational Tools to the Study of Financial And Moral Dialogues-Reference-Cited by-同舟云学术

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

Published:2020-09-01 Issue:1 Volume:63 Page:185-208
ISSN:2199-6059
Container-title:Studies in Logic, Grammar and Rhetoric
language:en
Short-container-title:

Author:

Yaskorska-Shah Olena¹^ORCID

Affiliation:

1. Warsaw University of Technology , Faculty of Administration and Social Sciences, International Center for Formal Ontology

Abstract

Abstract 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.

Publisher

Walter de Gruyter GmbH

Subject

Philosophy

Link

https://www.sciendo.com/pdf/10.2478/slgr-2020-0034

Reference31 articles.

1. Ametller, J., Robles, S., & Borrell, J. (2003). Agent Migration over FIPA ACL Messages. In International Workshop on Mobile Agents for Telecommunication Applications (pp. 210–219). Berlin/Heidelberg: Springer.

2. Bench-Capon, T.J. (1998). Specification and Implementation of Toulmin Dialogue Game. In Proceedings of JURIX 98 (pp. 5–20). Jurix – The Foundation for Legal Knowledge Based Systems. Retreived March 20, 2020 from: http://jurix.nl/proceedings/.

3. Bex, F., Lawrence, J., & Reed, C. (2014). Generalising Argument Dialogue with the Dialogue Game Execution Platform. In S. Parsons, N. Oren, C. Reed & F. Cerutti (Eds.), Proceedings of the 5th International Conference on Computational Models of Argument (COMMA 2014) (pp. 141–152). Amsterdam/Berlin/Tokyo/Washington, DC: IOS Press,.

4. Black, E., & Hunter, A. (2012). Executable Logic for Dialogical Argumentation. In ECAI 2012: 20th European Conference on Artificial Intelligence, 27–31 August 2012, Montpellier, France (pp. 15–20). Amsterdam/Berlin/Tokyo/Washington, DC: IOS Press.

5. Budzynska, K., Rocci, A., & Yaskorska, O. (2014a). Financial Dialogue Games: A Protocol for Earnings Conference Calls. In S. Parsons, N. Oren, C. Reed, & F. Cerutti (Eds.), Frontiers in Artificial Intelligence and Applications, Proceedings of the 5th International Conference on Computational Models of Argument COMMA 2014 (pp. 19–30). Amsterdam/Berlin/Tokyo/Washington, DC: IOS Press.