research
∙
08/04/2023
Let's Give a Voice to Conversational Agents in Virtual Reality
The dialogue experience with conversational agents can be greatly enhanc...
share
research
∙
05/27/2023
Understanding Emotion Valence is a Joint Deep Learning Task
The valence analysis of speakers' utterances or written posts helps to u...
research
∙
05/25/2023
Response Generation in Longitudinal Dialogues: Which Knowledge Representation Helps?
Longitudinal Dialogues (LD) are the most challenging type of conversatio...
research
∙
02/15/2023
Whats New? Identifying the Unfolding of New Events in Narratives
Narratives include a rich source of events unfolding over time and conte...
research
∙
06/17/2022
What can Speech and Language Tell us About the Working Alliance in Psychotherapy
We are interested in the problem of conversational analysis and its appl...
research
∙
12/13/2021
Detecting Emotion Carriers by Combining Acoustic and Lexical Representations
Personal narratives (PN) - spoken or written - are recollections of fact...
research
∙
11/25/2021
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism
Current models on Explainable Artificial Intelligence (XAI) have shown a...
research
∙
07/18/2021
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity
Machine learning methods, such as deep learning, show promising results ...
research
∙
08/17/2020
Emotion Carrier Recognition from Personal Narratives
Personal Narratives (PN) - recollections of facts, events, and thoughts ...
research
∙
06/17/2020
Is this Dialogue Coherent? Learning from Dialogue Acts and Entities
In this work, we investigate the human perception of coherence in open-d...
research
∙
02/27/2020
Annotation of Emotion Carriers in Personal Narratives
We are interested in the problem of understanding personal narratives (P...
research
∙
11/04/2019
Affective Behaviour Analysis of On-line User Interactions: Are On-line Support Groups more Therapeutic than Twitter?
The increase in the prevalence of mental health problems has coincided w...
research
∙
08/12/2019
Active Annotation: bootstrapping annotation lexicon and guidelines for supervised NLU learning
Natural Language Understanding (NLU) models are typically trained in a s...
research
∙
05/28/2019
An Incremental Turn-Taking Model For Task-Oriented Dialog Systems
In a human-machine dialog scenario, deciding the appropriate time for th...
research
∙
05/09/2019
Modeling user context for valence prediction from narratives
Automated prediction of valence, one key feature of a person's emotional...
research
∙
07/27/2018
Concept Tagging for Natural Language Understanding: Two Decadelong Algorithm Development
Concept tagging is a type of structured learning needed for natural lang...
research
∙
06/21/2018
Coherence Models for Dialogue
Coherence across multiple turns is a major challenge for state-of-the-ar...
research
∙
06/12/2018
ISO-Standard Domain-Independent Dialogue Act Tagging for Conversational Agents
Dialogue Act (DA) tagging is crucial for spoken language understanding s...
research
∙
11/10/2017
Depression Severity Estimation from Multiple Modalities
Depression is a major debilitating disorder which can affect people from...
research
∙
05/13/2017
