<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

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

Faculty of Administration and Social Sciences, International Center for Formal Ontology

Studies in Logic, Grammar and Rhetoric

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper proposes two formal models for understanding real-life dialogues, aimed at capturing argumentative structures performatively enacted during...

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

Online veröffentlicht: 04. Nov. 2020

Seitenbereich: 185 - 208

DOI: https://doi.org/10.2478/slgr-2020-0034

Schlüsselwörter
data driven dialogue systems, corpus studies, computational tools in argument analysis

© 2020 Olena Yaskorska-Shah, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Online veröffentlicht: 04. Nov. 2020

Seitenbereich: 185 - 208

DOI: https://doi.org/10.2478/slgr-2020-0034

Schlüsselwörterdata driven dialogue systems, corpus studies, computational tools in argument analysis

© 2020 Olena Yaskorska-Shah, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
data driven dialogue systems, corpus studies, computational tools in argument analysis