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

Argument mining is the research area aiming at extracting natural language arguments and
their relations from text, with the final goal of providing machine-processable structured data …

The nonlinear regression estimation issues are solved by successful application of a novel
neural network technique termed as support vector machines (SVMs). Evaluation of …

Public sector institutions that consult citizens to inform decision-making face the challenge of
evaluating the contributions made by citizens. This evaluation has important democratic …

Argumentation is a type of discourse where speakers try to persuade their audience about
the reasonableness of a claim by presenting supportive arguments. Most work in argument …

Given any argument on any controversial topic, how to counter it? This question implies the
challenging retrieval task of finding the best counterargument. Since prior knowledge of a …

Argumentation mining is an application of natural language processing (NLP) that emerged
a few years ago and has recently enjoyed considerable popularity, as demonstrated by a …

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

Peer-review plays a critical role in the scientific writing and publication ecosystem. To
assess the efficiency and efficacy of the reviewing process, one essential element is to …

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 …