A Monologue on Conversation: Characterising Dialogue Across Interaction Types with a Focus on Topical Structure
- Event: Seminar
- Presented by: Amandine Decker from University of Gothenburg
- Date: 31 August 2026
- Time: 10:15-12:00
- Venue: Gothenburg University, Humanisten and online
- Address: Renströmsgatan 6, 412 55 Göteborg
- Room: C250
- Zoom link: https://gu-se.zoom.us/j/67063108947?pwd=kPpjvMLCekxNTBVzq4uYP5gFZ6Y6vd.1
- Slides: ThesisAmandineDecker_july31.pdf
Abstract
Dialogue constitutes a fundamental mode of human interaction and has become increasingly central in natural language processing with the growing use of conversational AI systems both in research and in practical applications. However, dialogue is a heterogeneous phenomenon encompassing a wide range of forms, arising from differences in participant configurations, interaction contexts, or communication media. This diversity creates challenges for the study of dialogue data, particularly in selecting suitable resources, defining the scope and limitations of our studies, and establishing meaningful evaluation methodologies. A principled characterisation of dialogue is therefore necessary to account for its variations and to support the design of robust computational approaches. Among the phenomena that cut across different forms of dialogue, topical organisation plays a central role. The structure and evolution of topics shape conversational dynamics and are themselves influenced by the type of interaction being considered. Studying such phenomena requires moving beyond local conversational patterns and adopting a broader, macro-level perspective on dialogue, allowing different interacting processes and structures to be examined jointly. This thesis investigates three main research questions: (1) how dialogue can be characterised in a way that accounts for its variability while informing the selection of suitable resources and evaluation methods; (2) whether topical structure can be automatically extracted from dialogue data, with a particular focus on open-ended multi-party conversations, that are more complex but also very common in real-world interactions; and (3) whether topical structure can be leveraged as a discriminative signal for differentiating dialogue types. Through these questions, the thesis aims to contribute both analytical and methodological perspectives toward a broader understanding of dialogue structure and variation.
