In this study, we investigate the capabilities and inherent biases of advanced large language
models (LLMs) such as GPT-3.5 and GPT-4 in the context of debate evaluation. We discover …

Argument Mining (AM) is a unique task in Natural Language Processing (NLP) that targets
arguments: a meaningful logical structure in human language. Since the argument plays a …

Stance detection is an increasingly popular task that has been mainly modeled as a static
task, by assigning the expressed attitude of a text toward a given topic. Such a framing …

This paper introduces the Chinese Essay Argument Mining Corpus (CEAMC), a manually
annotated dataset designed for argument component classification on multiple levels of …

One of the greatest challenges of computational argumentation research consists of creating
persuasive strategies that can effectively influence the behaviour of a human user. From the …

An important open challenge in the area of computational argumentation is the automatic
reconstruction of natural language enthymemes. Such argumentative figures are commonly …

Recent work within the Argument Mining community has shown the applicability of Natural
Language Processing systems for solving problems found within competitive debate. One of …

[EN] Computational argumentation is the area of research that studies and analyses the use
of different techniques and algorithms that approximate human argumentative reasoning …