Abstract People love to argue. In recent years, Artificial Intelligence has achieved great advances in modelling natural language argumentation. While analysing and creating arguments is a highly complex (and enjoyable!) task at which even humans are[…]
Abstract Never before was it so easy to write a powerful NLP system, never before did it have such a potential impact. However, these systems are now increasingly used in applications they were not intended[…]
Abstract Computational analysis of sound scenes has emerged in the last years as a prominent research area that has several applications, but also different several different engineering tasks to be solved. This presentation give an[…]
Abstract Given the recent proliferation of disinformation online, there has been growing research interest in automatically debunking rumors, false claims, and “fake news”. A number of fact-checking initiatives have been launched so far, both manual[…]
Abstract As visual recognition models are developed across diverse applications, we need the ability to reliably deploy our systems in a variety of environments. At the same time, visual models tend to be trained and[…]
Abstract Deep learning has been successfully applied to solve various complex problems. However, deep learning algorithms have also been employed to create deepfakes (e.g. fake audios, images and videos) for misleading information. Deepfakes are increasingly[…]
Abstract For the polar (yes/no) question “Want to get dinner?”, there are many perfectly natural responses in addition to ‘yes’ and ‘no’. Humans can spontaneously interpret responses such as “I’m starving.”, “You are up for[…]
