The dialogue experience with conversational agents can be greatly enhanc...
The valence analysis of speakers' utterances or written posts helps to
u...
Longitudinal Dialogues (LD) are the most challenging type of conversatio...
Narratives include a rich source of events unfolding over time and conte...
We are interested in the problem of conversational analysis and its
appl...
Personal narratives (PN) - spoken or written - are recollections of fact...
Current models on Explainable Artificial Intelligence (XAI) have shown a...
Machine learning methods, such as deep learning, show promising results ...
Personal Narratives (PN) - recollections of facts, events, and thoughts ...
In this work, we investigate the human perception of coherence in open-d...
We are interested in the problem of understanding personal narratives (P...
The increase in the prevalence of mental health problems has coincided w...
Natural Language Understanding (NLU) models are typically trained in a
s...
In a human-machine dialog scenario, deciding the appropriate time for th...
Automated prediction of valence, one key feature of a person's emotional...
Concept tagging is a type of structured learning needed for natural lang...
Coherence across multiple turns is a major challenge for state-of-the-ar...
Dialogue Act (DA) tagging is crucial for spoken language understanding
s...
Depression is a major debilitating disorder which can affect people from...
Empathy, as defined in behavioral sciences, expresses the ability of hum...