Despite its great success, machine learning can have its limits when dealing with insufficient
training data. A potential solution is the additional integration of prior knowledge into the …

Automatic elicitation of semantic information from natural language texts is an important
research problem with many practical application areas. Especially after the recent …

Society and individuals are negatively influenced both politically and socially by the
widespread increase of fake news either way generated by humans or machines. In the era …

Stance detection is an important component of understanding hidden influences in everyday
life. Since there are thousands of potential topics to take a stance on, most with little to no …

The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …

The 2017 Fake News Challenge Stage 1 (FNC-1) shared task addressed a stance
classification task as a crucial first step towards detecting fake news. To date, there is no in …

Changing someone's opinion is arguably one of the most important challenges of social
interaction. The underlying process proves difficult to study: it is hard to know how …

More of the social world lives within electronic text than ever before, from collective activity
on the web, social media, and instant messaging to online transactions, government …

A fundamental challenge in developing high-impact machine learning technologies is
balancing the need to model rich, structured domains with the ability to scale to big data …

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 …