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 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 …

Stance Detection is the task of automatically determining whether the author of a text is in
favor, against, or neutral towards a given target. In this paper we investigate the portability of …

Stance and Gender Detection in Tweets on Catalan Independence (StanceCat) is a new
shared task proposed for the first time at the IberEval 2017 evaluation campaign. The …

The number of communications and messages generated by users on social media
platforms has progressively increased in the last years. Therefore, the issue of develo** …

In the last decade, social media gained a very significant role in public debates, and despite
the many intrinsic difficulties of analyzing data streaming from on-line platforms that are …

In recent years, the Natural Language Processing community have been moving from
uncontextualized word embeddings towards contextualized word embeddings. Among …

One way to help users navigate debated topics online is to apply stance detection in web
search. Automatically identifying whether search results are against, neutral, or in favor …

The exponential growth of user-generated content on social media platforms, online news
outlets, and digital communication has necessitated the development of automated tools for …

Popular social media networks provide the perfect environment to study the opinions and
attitudes expressed by users. While interactions in social media such as Twitter occur in …