A multi-task learning framework for politeness and emotion detection in dialogues for mental health counselling and legal aid
Abstract The World Health Organization (WHO) has highlighted the need to greatly
accelerate the prevention of crime and harassment against women and children, thereby …
accelerate the prevention of crime and harassment against women and children, thereby …
Multi task opinion enhanced hybrid BERT model for mental health analysis
Understanding the nuanced emotions and points of view included in user-generated content
remains challenging, even though text data analysis for mental health is a crucial instrument …
remains challenging, even though text data analysis for mental health is a crucial instrument …
Conditioning on Dialog Acts improves Empathy Style Transfer
We explore the role of dialog acts in style transfer, specifically empathy style transfer–
rewriting a sentence to make it more empathetic without changing its meaning. Specifically …
rewriting a sentence to make it more empathetic without changing its meaning. Specifically …
Uncertainty-Aware Label Contrastive Distribution Learning for Automatic Depression Detection
Depression is one of the most common mental illnesses, affecting people's quality of life and
posing a risk to their health. Low-cost and objective automatic depression detection (ADD) is …
posing a risk to their health. Low-cost and objective automatic depression detection (ADD) is …
Advancing mental health detection in texts via multi-task learning with soft-parameter sharing transformers
In recent years, mental health issues have profoundly impacted individuals' well-being,
necessitating prompt identification and intervention. Existing approaches grapple with the …
necessitating prompt identification and intervention. Existing approaches grapple with the …
[HTML][HTML] Adapting the Number of Questions Based on Detected Psychological Distress for Cognitive Behavioral Therapy With an Embodied Conversational Agent …
Background The high prevalence of mental illness is a critical social problem. The limited
availability of mental health services is a major factor that exacerbates this problem. One …
availability of mental health services is a major factor that exacerbates this problem. One …
Facing Data Scarcity in Dialogues for Discourse Structure Discovery and Prediction
C Li - 2023 - theses.hal.science
A document is more than a random combination of sentences. It is, instead, a cohesive entity
where sentences interact with each other to create a coherent structure and convey specific …
where sentences interact with each other to create a coherent structure and convey specific …
Multi-aspect Depression Severity Assessment via Inductive Dialogue System
With the advancement of chatbots and the growing demand for automatic depression
detection, identifying depression in patient conversations has gained more attention …
detection, identifying depression in patient conversations has gained more attention …
[PDF][PDF] A Machine Learning Framework for Enhanced Depression Detection in Mental Health Care Setting
S Pandya - Int. J. Sci. Res. Sci. Eng. Technol, 2023 - researchgate.net
One of the most overlooked yet vital aspects of our general well-being in the modern day is
mental health. There are many persons who experience various mental health conditions …
mental health. There are many persons who experience various mental health conditions …
A Multilevel Depression Detection from Twitter using Fine-Tuned RoBERTa
A Zaman, SS Ferdous, N Akhter, TI Ena… - … on Information and …, 2023 - ieeexplore.ieee.org
Depression stands out as the most commonly occurring psychiatric disorder worldwide.
Extreme levels of depression can make people take drastic steps. However, early-stage …
Extreme levels of depression can make people take drastic steps. However, early-stage …