Managing the Complexity of Dialogues in Context: A Data-Driven Discovery Method for Dialectical Reply Structures

Abstract Current formal dialectical models postulate normative rules that enable discussants to conduct dialogical interactions without committing fallacies. Though the for conducting a dialogue are supposed apply between actual arguers, they exception theoretically motivated. This creates gap model and reality, because participants typically leave important content-related elements implicit. Therefore, analysts cannot readily relate debates in ways will be empirically confirmable. paper details new, data-driven method describing discussants’ reply structures, wherein corpus studies serve acknowledge complexity of natural argumentation (itself understood as function context). Rather than refer exclusively propositional content an indicator arguing pro/contra given claim, proposed approach structure tracks sequence moves itself. arguably improves applicability theoretical empirical data, thus advances study systems.