SOURCE-LINKED INTELLIGENCE
Who Argues What? Joint Argument-Entity Detection and Classification in Political Debates
Political debates are often analyzed through Argument Mining (AM) to investigate the key arguments that drive them. However, political arguments are rarely interpretable from argumentative spans alone, as claims and premises generally depend on the entities (e.g., people, events, locations, parties) they mention. Existing AM resources and methods typically annotate argumentative spans and roles, but do not provide a paired debate-entity layer for asking which Debate Named Entities (DNE), e.g., actors and events, are invoked within debates. In this work, we address these data and methodological
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T14:01:54.000Z
First collected: 2026-09-20T19:32:24.350Z. This is not the publication date.