Argument Mining (AM) aims to uncover the argumentative structures within a text. Previous
methods require several subtasks, such as span identification, component classification, and …

Argument mining involves multiple sub-tasks that automatically identify argumentative
elements, such as claim detection, evidence extraction, stance classification, etc. However …

Abstract Argumentative Essay Generation (AEG) is a challenging task in computational
argumentation, where detailed logical reasoning and effective rhetorical skills are essential …

Measuring advances in argument mining is one of the main challenges in the area. Different
theories of argument, heterogeneous annotations, and a varied set of argumentation …

End-to-end argumentation mining (AM) aims to extract the argumentation structure including
argumentation components and their argumentation relations from text. Recent …

Argument structure extraction (ASE) aims to identify the discourse structure of arguments
within documents. Previous research has demonstrated that contextual information is crucial …