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

Stance detection on social media is an emerging opinion mining paradigm for various social
and political applications in which sentiment analysis may be sub-optimal. There has been a …

Artificial intelligence (AI) is defined as the ability of machines to perform tasks that are
usually associated with intelligent beings. Argument and debate are fundamental …

Argument mining is the automatic identification and extraction of the structure of inference
and reasoning expressed as arguments presented in natural language. Understanding …

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 …

Argument mining is the research area aiming at extracting natural language arguments and
their relations from text, with the final goal of providing machine-processable structured data …

Stance detection is an evolving opinion mining research area motivated by the vast increase
in the variety and volume of user-generated content. In this regard, considerable research …

Identifying the quality of free-text arguments has become an important task in the rapidly
expanding field of computational argumentation. In this work, we explore the challenging …

Computational argumentation is expected to play a critical role in the future of web search.
To make this happen, many search-related questions must be revisited, such as how people …

Stance detection determines whether the author of a text is in favor of, against or neutral to a
specific target and provides valuable insights into important events such as presidential …