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

Peer review and rebuttal, with rich interactions and argumentative discussions in between,
are naturally a good resource to mine arguments. However, few works study both of them …

Mining an argument structure from text is an important step for tasks such as argument
search and summarization. While studies on argument (ation) mining have proposed …

We present Superlim, a multi-task NLP benchmark and analysis platform for evaluating
Swedish language models, a counterpart to the English-language (Super) GLUE suite. We …

Despite extensive research efforts in recent years, computational argumentation (CA)
remains one of the most challenging areas of natural language processing. The reason for …

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

Peer reviewing is a central process in modern research and essential for ensuring high
quality and reliability of published work. At the same time, it is a time-consuming process …

We explore the use of residual networks and neural attention for multiple argument mining
tasks. We propose a residual architecture that exploits attention, multi-task learning, and …

At the foundation of scientific evaluation is the labor-intensive process of peer review. This
critical task requires participants to consume vast amounts of highly technical text. Prior work …

The ArgumenText project creates argument mining technology for big and heterogeneous
data and aims to evaluate its use in real-world applications. The technology mines and …