Abstract
This study introduces a structural framework for evaluating the quality of argumentative interaction in parliamentary debate. We proposed four hypotheses about rebuttal structures and defined corresponding features (Distance, Interval, Order, Rally). From a corpus of 20 English debate rounds with 1,573 ADUs and 679 rebuttal relations, we compared these features with human and LLM ratings. Regression analysisrevealedamoderatecorrelation(r=0.609),withRallyemerging as the most important predictor of interaction quality, followed by Distance and Interval, while Order showed limited explanatory power. To apply these insights in practice, we developed DebaTube, a visualization system that maps rebuttal structures to debate videos. A user study with experienced debaters confirmed that the system helps identify effective rebuttal patterns and improves exploration efficiency.
Information
Book title
The 31st International Conference on Collaboration Technologies and Social Computing (CollabTech2025)
Date of issue
2025/11/06
Date of presentation
2025/11/06
Location
Depok, West Java, Indonesia
Citation
Masahiro Fukui, Satoshi Nakamura. Structural Analysis of Rebuttals to Evaluate Argumentative Interaction in Parliamentary Debates, The 31st International Conference on Collaboration Technologies and Social Computing (CollabTech2025), 2025.