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 …

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

Social media platforms have become an essential venue for online deliberation where users
discuss arguments, debate, and form opinions. In this paper, we propose an unsupervised …

Stance detection is an important task, supporting many downstream tasks such as discourse
parsing and modeling the propagation of fake news, rumors, and science denial. In this …

Analyzing massive VAERS reports without medical context may lead to incorrect
conclusions about vaccine adverse events (VAE). Facilitating VAE detection promotes …

Targeted Sentiment Analysis (TSA) is a central task for generating insights from consumer
reviews. Such content is extremely diverse, with sites like Amazon or Yelp containing …

The natural language processing subfield known as sentiment analysis or opinion mining
has seen an explosive expansion over the last decade or so, and sentiment analysis has …

We present a new method for sentiment lexicon induction that is designed to be applicable
to the entire range of typological diversity of the world's languages. We evaluate our method …

Abstract Argumentation mining is a subfield of Computational Linguistics that aims
(primarily) at automatically finding arguments and their structural components in natural …

This paper describes an English audio and textual dataset of debating speeches, a unique
resource for the growing research field of computational argumentation and debating …