Conversational models that are generative and open-domain are particular...
This paper proposes a framework for quantitatively evaluating interactiv...
Developing robust and fair AI systems require datasets with comprehensiv...
Many NLP classification tasks, such as sexism/racism detection or toxici...
Considerable advancements have been made in various NLP tasks based on t...
Media framing bias can lead to increased political polarization, and thu...
Politically sensitive topics are still a challenge for open-domain chatb...
Multimodal affect recognition constitutes an important aspect for enhanc...
Rumors are often associated with newly emerging events, thus, an ability...
Media bias can lead to increased political polarization, and thus, the n...
Few-shot learning has drawn researchers' attention to overcome the probl...
Amid the pandemic COVID-19, the world is facing unprecedented infodemic ...
Considerable progress has been made towards conversational models that
g...
Debunking misinformation is an important and time-critical task as there...
Personalized dialogue systems are an essential step toward better
human-...