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

In this article, we present a novel approach for parsing argumentation structures. We identify
argument components using sequence labeling at the token level and apply a new joint …

The goal of argumentation mining, an evolving research field in computational linguistics, is
to design methods capable of analyzing people's argumentation. In this article, we go …

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 …

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 …

Online debate forums present a valuable opportunity for the understanding and modeling of
dialogue. To understand these debates, a key challenge is inferring the stances of the …

The study of argumentation is transversal to several research domains, from philosophy to
linguistics, from the law to computer science and artificial intelligence. In discourse analysis …

Abstract Argumentation has long been studied in a number of disciplines, including several
branches of linguistics. In recent years, computational processing of argumentation has …

Modeling what makes a request persuasive-eliciting the desired response from a reader-is
critical to the study of propaganda, behavioral economics, and advertising. Yet current …

Argument schemes are abstractions substantiating the inferential connection between
premise (s) and conclusion in argumentative communication. Identifying such conventional …