Abstract Argumentation schemes [1–3] are a relatively recent notion that continues an
extremely ancient debate on one of the foundations of human reasoning, human …

This work describes a simple Transfer Learning methodology aiming at discriminating
evidences related to Argumentation Schemes using three different pre-trained neural …

The approach proposed in this study aims to classify argumentative oppositions. A major
assumption of this work is that discriminating among different argumentative stances of …

This paper describes a long-term research goal which aims at creating a middleware
interface between Argumentation Schemes and natural language. This idea comes from the …

This work investigates how the combination of different tree representations with different
Tree Kernel functions influences the results of the classifications in two specific case studies …

Douglas Walton's work is extremely vast, multifaceted, and interdisciplinary. He developed
theoretical proposals that have been used in disciplines that are not traditionally related to …

This Thesis is composed of a collection of works written in the period 2019-2022, whose aim
is to find methodologies of Artificial Intelligence (AI) and Machine Learning to detect and …

[en] The purpose of this study is to deploy a novel methodology for classifying argumentative
support (or evidence) in arguments. The methodology shows that Tree Kernel can …

The aims of this paper are to illustrate where previous attempts at the characterisation of
slippery slope arguments (SSAs) have gone wrong, to provide an analysis which better …

The approach proposed in this study aims to classify argumentative oppositions. A major
assumption of this work is that discriminating among different argumentative stances of …