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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 analysis revealed a moderate correlation (r = 0.609), with Rally emerging 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.

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Structural Analysis of Rebuttals to Evaluate Argumentative Interaction in Parliamentary Debates

  • 会议论文

  • 发表日期：

    2026年

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  • Masahiro Fukui,
  • Satoshi Nakamura

摘要

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 analysis revealed a moderate correlation (r = 0.609), with Rally emerging 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.