An argumentation framework is a pair made of a graph and a semantics. The nodes and the
edges of the graph represent respectively arguments and relations (eg, attacks, supports) …

In formal argumentation, a distinction can be made between extension-based semantics,
where sets of arguments are either (jointly) accepted or not, and ranking-based semantics …

Abstract argumentation is a reasoning model for evaluating arguments. Recently, gradual
semantics has received considerable attention in weighted argumentation, which assigns an …

The study of Dung-style Argumentation Frameworks in recent years has focused on
incorporating time. For example, availability intervals have been added to arguments and …

We aim at improving reasoning on inconsistent and uncertain data. We focus on knowledge-
graph data, extended with time intervals to specify their validity, as regularly found in …

Reasoning on inconsistent and uncertain data is challenging, especially for Knowledge-
Graphs (KG) to abide temporal consistency. Our goal is to enhance inference with more …

Argument mining is natural language processing technology aimed at identifying arguments
in text. Furthermore, the approach is being developed to identify the premises and claims of …

Similarity measures play a central role in various data science application domains for a
wide assortment of tasks. This guide describes a comprehensive set of prevalent similarity …

In formal argumentation, a distinction can be made between extension-based semantics,
where sets of arguments are either (jointly) accepted or not, and ranking-based semantics …

We propose a new and faster (linear instead of exponential) way to compute the
acceptability probability of an argument (in uncontroversial acyclic graph) with the grounded …