This paper introduces a natural language understanding (NLU) framework for argumentative
dialogue systems in the information-seeking and opinion building domain. The proposed …

Often, users do not know how artificial intelligence (AI) systems make decisions or obtain
information, making it difficult for them to trust AI. This paper provides a systematic analysis …

In this work, we introduce BEA, an argumentative Dialogue System that assists the user in
his or her opinion forming regarding a certain controversial topic. To this end, we establish …

Research states that persuasion is subjective. Moreover, people use behavioral cues all the
time, very often even without noticing and are often not aware of being persuaded by non …

We present an approach to evaluate argument search techniques in view of their use in
argumentative dialogue systems by assessing quality aspects of the retrieved arguments. To …

Humans commonly use speech to convey their ideas and intentions to each other. And while
the meaning of individual words is mostly fixed, the intended meaning of a full sentence can …

People make decisions every day or form an opinion based on persuasion processes,
whether through advertising, planning leisure activities with friends or public speeches. Most …

Despite the remarkable progress in the field of computational argumentation, dialogue
systems concerned with argumentative tasks often rely on structured knowledge about …

Within this work, we present an approach to model the opinion of a human towards a
specific topic in a fine-grained way by using weighted bipolar argumentation graphs. In …

This work introduces chained arguments into a dialogue game for argumentation to allow a
more natural and intuitive interaction with a respective system. Thus, the turn taking rules of …