Argument mining is the automatic identification and extraction of the structure of inference
and reasoning expressed as arguments presented in natural language. Understanding …

Abstract Argumentation mining is a rising subject in the computational linguistics domain
focusing on extracting structured arguments from natural text, often from unstructured or …

Chatbots are conversational software applications designed to interact dialectically with
users for a plethora of different purposes. Surprisingly, these colloquial agents have only …

Online discussion platforms are perceived as the next-generation method of citizen
involvement. Such platforms can collect, integrate, and synthesize opinions to achieve social …

One key consequence of the information revolution is a significant increase and a
contamination of our information supply. The practice of fact checking won't suffice to …

Scientists are harnessing their multi-disciplinary expertise and resources to fight the COVID-
19 pandemic. Aligned with this mindset, the Covid-on-the-Web project aims to allow …

Fallacies play a prominent role in argumentation since antiquity due to their contribution to
argumentation in critical thinking education. Their role is even more crucial nowadays as …

One of the main tasks in argument mining is the retrieval of argumentative content pertaining
to a given topic. Most previous work addressed this task by retrieving a relatively small …

Abstract Argument (ation) Mining (AM) typically aims at identifying argumentative
components in text and predicting the relations among them. Evidence-based decision …

This survey builds an interdisciplinary picture of Argument Mining (AM), with a strong focus
on its potential to address issues related to Social and Political Science. More specifically …