Understanding the argumentative structure of a persuasive essay involves addressing two
challenging tasks: identifying the components of the essay's argument and identifying the …

Social media collect and spread on the Web personal opinions, facts, fake news and all kind
of information users may be interested in. Applying argument mining methods to such …

Argument pair extraction (APE) aims to automatically mine argument pairs from two
interrelated argumentative documents. Existing studies typically identify argument pairs …

Science, technology and innovation (STI) policies have evolved in the past decade. We are
now progressing towards policies that are more aligned with sustainable development …

Mining social web text has been at the heart of the Natural Language Processing and Data
Mining research community in the last 15 years. Though most of the reported work is on …

Purpose The basic assumption is that there is a symmetric relationship between review
valence and rating, but what if review valence and rating were linked asymmetrically? There …

In this paper we examine the application of an unsupervised extractive summarisation
algorithm, TextRank, on a different task, the identification of argumentative components. Our …

State-of-the-art systems for argumentation mining are supervised, thus relying on training
data containing manually annotated argument components and the relationships between …

Since the advent of blogging, microblogging, and social networking sites, researchers and
practitioners have been increasingly concerned with the problem of obtaining useful …

Abstract Argumentation mining is a research field which focuses on sentences in type of
argumentation. Argumentative sentences are often used in daily communication and have …