Argumentation mining aims at automatically extracting structured arguments from
unstructured textual documents. It has recently become a hot topic also due to its potential in …

We are surprised to find that BERT's peak performance of 77% on the Argument Reasoning
Comprehension Task reaches just three points below the average untrained human …

Argument mining is a core technology for automating argument search in large document
collections. Despite its usefulness for this task, most current approaches to argument mining …

We present TARGER, an open source neural argument mining framework for tagging
arguments in free input texts and for keyword-based retrieval of arguments from an …

This paper surveys ontological modeling of rhetorical concepts, developed for use in
argument mining and other applications of computational rhetoric, projecting their future …

Abstract Argumentation mining is a recent challenge concerning the automatic extraction of
arguments from unstructured textual corpora. Argumentation mining technologies are rapidly …

When people converse about social or political topics, similar arguments are often
paraphrased by different speakers, across many different conversations. Debate websites …

The automatic extraction of arguments from text, also known as argument mining, has
recently become a hot topic in artificial intelligence. Current research has only focused on …

A simple but important task during the analysis of a textual requirements specification is to
determine which statements in the specification represent requirements. In principle, by …

Argument mining has recently become a hot topic, attracting the interests of several and
diverse research communities, ranging from artificial intelligence, to computational …