suicide risk

Archetypes and Entropy: Theory-Driven Extraction of Evidence for Suicide Risk EACL 2024 Cheap Ways of Extracting Clinical Markers from Texts EACL 2024 Detecting Suicide Risk Patterns using Hierarchical Attention Networks with Large Language Models EACL 2024 Exploring Instructive Prompts for Large Language Models in the Extraction of Evidence for Supporting Assigned Suicidal Risk Levels EACL 2024 Integrating Supervised Extractive and Generative Language Models for Suicide Risk Evidence Summarization EACL 2024 Overview of the CLPsych 2024 Shared Task: Leveraging Large Language Models to Identify Evidence of Suicidality Risk in Online Posts EACL 2024 Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach EACL 2024 Team ISM at CLPsych 2024: Extracting Evidence of Suicide Risk from Reddit Posts with Knowledge Self-Generation and Output Refinement using A Large Language Model EACL 2024 Using Large Language Models (LLMs) to Extract Evidence from Pre-Annotated Social Media Data EACL 2024 Utilizing Large Language Models to Identify Evidence of Suicidality Risk through Analysis of Emotionally Charged Posts EACL 2024 XinHai@CLPsych 2024 Shared Task: Prompting Healthcare-oriented LLMs for Evidence Highlighting in Posts with Suicide Risk EACL 2024 Detecting Moments of Change and Suicidal Risks in Longitudinal User Texts Using Multi-task Learning NAACL 2022 Emotionally-Informed Models for Detecting Moments of Change and Suicide Risk Levels in Longitudinal Social Media Data NAACL 2022 Predicting Moments of Mood Changes Overtime from Imbalanced Social Media Data NAACL 2022 Assessing population-level symptoms of anxiety, depression, and suicide risk in real time using NLP applied to social media data EMNLP 2020 Dictionaries and Decision Trees for the 2019 CLPsych Shared Task NAACL 2019 Predicting Suicide Risk from Online Postings in Reddit The UGent-IDLab submission to the CLPysch 2019 Shared Task A NAACL 2019