QTMM2012c+: A Queryable Empirically- Grounded Resource of Dialogue with Argumentation

Amidei, Jacopo; Piwek, Paul and Stoyanchev, Svetlana (2021). QTMM2012c+: A Queryable Empirically- Grounded Resource of Dialogue with Argumentation. In: 5th Workshop on Advances in Argumentation in Artificial Intelligence, 29 Nov 2021, Online event.

Abstract

This paper introduces QTMM2012c+, a resource which links relations between propositions (inference, conflict and rephrase) to dialogue act sequences. QTMM2012c+ builds on the MM2012c annotated corpus of BBC Moral Maze debates, extending it with new annotations – for speaker roles (chair, panellists and witnesses), speaker stances (neutral, pro and con) and locution chronological ordering – and making the information available in a queryable format. We show how the new resource allows for: i) automatic extraction of empirically-grounded dialogue rules which describe choice and frequency of dialogue acts with specific argumentative functions given the dialogue history, and ii) extraction of generation templates that reflect naturally-occurring argumentative locutions in empirically-grounded dialogue. QTMM2012c+ facilitates automatic analysis of argument transitions between speakers, extending previous manual analysis of the MM2012c corpus, enabling empirical tests of theories of argumentative dialogue.

Viewing alternatives

Item Actions

Export

You can export this page using these formats

About

• Item ORO ID
• 81701
• Item Type
• Conference or Workshop Item
• Keywords
• Dialogue based on argumentation; Argumentation in agent and multi-agent systems; Argument-based machine learning; Strategies in argumentation; Argumentation schemes; Dialogue rules; MM2012c dataset
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2021 The Authors
• Depositing User
• Jacopo Amidei