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suicide risk assessment

19 papers

Papers

Exploring Instructive Prompts for Large Language Models in the Extraction of Evidence for Supporting Assigned Suicidal Risk Levels 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 ChatGPT for Suicide Risk Assessment on Social Media: Quantitative Evaluation of Model Performance, Potentials and Limitations ACL 2023 A Risk-Averse Mechanism for Suicidality Assessment on Social Media ACL 2022 Event Detection for Suicide Understanding NAACL 2022 Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts NAACL 2022 Determining a Person’s Suicide Risk by Voting on the Short-Term History of Tweets for the CLPsych 2021 Shared Task NAACL 2021 Team 9: A Comparison of Simple vs. Complex Models for Suicide Risk Assessment NAACL 2021 Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains ACL 2021 An Investigation of Deep Learning Systems for Suicide Risk Assessment NAACL 2019 CLaC at CLPsych 2019: Fusion of Neural Features and Predicted Class Probabilities for Suicide Risk Assessment Based on Online Posts NAACL 2019 Similar Minds Post Alike: Assessment of Suicide Risk Using a Hybrid Model NAACL 2019 Suicide Risk Assessment on Social Media: USI-UPF at the CLPsych 2019 Shared Task NAACL 2019 Suicide Risk Assessment with Multi-level Dual-Context Language and BERT NAACL 2019 Using Contextual Representations for Suicide Risk Assessment from Internet Forums NAACL 2019 Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings NAACL 2018 Complexity in Speech and its Relation to Emotional Bond in Therapist-Patient Interactions During Suicide Risk Assessment Interviews Interspeech 2017