A computational argumentation framework evaluates LLM summaries of parliamentary debates by checking preservation of formal argument structures tied to contested proposals.
High-quality argumentative information in low resources approaches improve counter-narrative generation , booktitle =
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Argument structure and component annotations from the WSF-ARG+ dataset predict whole-message hatefulness with up to 96% F1.
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Evaluating LLM-Driven Summarisation of Parliamentary Debates with Computational Argumentation
A computational argumentation framework evaluates LLM summaries of parliamentary debates by checking preservation of formal argument structures tied to contested proposals.
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Leveraging Argument Structure to Predict Content Hatefulness
Argument structure and component annotations from the WSF-ARG+ dataset predict whole-message hatefulness with up to 96% F1.