Engaging in a debate with oneself or others to take decisions is an integral part of our day-
today life. A debate on a topic (say, use of performance enhancing drugs) typically proceeds …

Abstract Argumentation mining aims to automatically identify structured argument data from
unstructured natural language text. This challenging, multifaceted task is recently gaining a …

Federico Cerutti, Sarah A. Gaggl, Matthias Thimm, Johannes P. Wallner abstract. We survey
the current state of the art of general techniques, as well as specific software systems for …

We report on the First International Competition on Computational Models of Argumentation
(ICCMA'15) which took place in the first half of 2015 and focused on reasoning tasks in …

Many of the conversations we have every day involve exchanges of arguments and
counteraguments. In the context of artificial intelligence and argumentation theory, such …

Current approaches to Argument Mining (AM) tend to take a holistic or black-box view of the
overall pipeline. This paper, in contrast, aims to provide a solution to achieve increased …

We propose a new method in the field of argument analysis in social media to determining
convincingness of arguments in online debates, following previous research by Habernal …

In this paper, we present BAM, a unified Benchmark for Argument Mining (AM). We propose
a method to homogenize both the evaluation process and the data to provide a common …

As computing becomes involved in every sphere of life, so too is persuasion a target for
applying computer-based solutions. Conversational agents, also known as chatbots, are …

Information overload is pervasive in intelligence analysis [23, p. 22]. This technical report
documents the development of Navigator—an experimental, prototype application designed …