Abstract Language models have the potential to assess mental health using social media
data. By analyzing online posts and conversations, these models can detect patterns …

Explainability and Safety engender trust. These require a model to exhibit consistency and
reliability. To achieve these, it is necessary to use and analyze data and knowledge with …

Transformer-based language models have achieved impressive success in various natural
language processing tasks due to their ability to capture complex dependencies and …

Domain-specific language understanding requires integrating multiple pieces of relevant
contextual information. For example, we see both suicide and depression-related behavior …

Large Language Models (LLMs) encode meanings of words in the form of distributed
semantics. Distributed semantics capture common statistical patterns among language …

Natural language understanding (NLU) using neural network pipelines often requires
additional context that is not solely present in the input data. Through Prior research, it has …

Knowledge graphs (KGs) are gaining prominence in Healthcare AI, especially in drug
discovery and pharmaceutical research as they provide a structured way to integrate diverse …

Sustainable Development Goals (SDGs) give the UN a road map for development with
Agenda 2030 as a target. SDG3" Good Health and Well-Being" ensures healthy lives and …

This study presents ADViRDS, an innovative scale and dataset specifically developed for
examining the psychological traits of domestic violence (DV) perpetrators. Recognizing the …

Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing
after realizing the importance of early interventions for patients with chronic mental health …