For the past seven years, the Social Media Mining for Health Applications (# SMM4H)
shared tasks have promoted the community-driven development and evaluation of …

This paper introduces a framework for the automated evaluation of natural language texts. A
manually constructed rubric describes how to assess multiple dimensions of interest. To …

Domestic violence is an issue of great importance that exceeds socioeconomic backgrounds
and cultural boundaries. It stems from factors such as power struggle, mental health issue …

Abstract The ability of Large Language Models (LLMs) to analyze and respond to freely
written text is causing increasing excitement in the field of psychiatry; the application of such …

Intimate partner violence (IPV) increased during the COVID-19 pandemic. Collecting
actionable IPV-related data from conventional sources (eg, medical records) was …

This study explores the role of gender in sentencing in Russian homicide cases, particularly
the “female discount” phenomenon. We use regression analysis on a dataset of 20531 court …

Migraine is a highly prevalent and disabling neurological disorder. However, information
about migraine management in real-world settings is limited to traditional health information …

This paper presents a description of our system in SMM4H-2022, where we participated in
task 1a, task 4, and task 6 to task 10. There are three main challenges in SMM4H-2022 …

Social media platforms are now not only a medium for expressing users views, feelings,
emotions and sentiments but are also being abused by people to propagate unpleasant and …

Social media platforms are increasingly being used by intimate partner violence (IPV)
victims to share experiences and seek support. If such information is automatically curated, it …