NLPExplorer

CLPsych - 2024

Total Papers:- 29

Total Papers accross all years:- 130

Total Citations :- 0

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Utilizing Large Language Models to Identify Evidence of Suicidality Risk through Analysis of Emotionally Charged Posts

Ahmet Yavuz Uluslu | Andrianos Michail | Simon Clematide |

Analysing relevance of Discourse Structure for Improved Mental Health Estimation

Navneet Agarwal | Gaël Dias | Sonia Dollfus |

Incorporating Word Count Information into Depression Risk Summary Generation: INF@UoS CLPsych 2024 Submission

Judita Preiss | Zenan Chen |

Your Model Is Not Predicting Depression Well And That Is Why: A Case Study of PRIMATE Dataset

Kirill Milintsevich | Kairit Sirts | Gaël Dias |

Therapist Self-Disclosure as a Natural Language Processing Task

Natalie Shapira | Tal Alfi-Yogev |

Using Daily Language to Understand Drinking: Multi-Level Longitudinal Differential Language Analysis

Extracting and Summarizing Evidence of Suicidal Ideation in Social Media Contents Using Large Language Models

Loitongbam Gyanendro Singh | Junyu Mao | Rudra Mutalik | Stuart E. Middleton |

evision PDF of 'Overview of the CLPsych 2024 Shared Task: Leveraging Large Language Models to Identify Evidence of Suicidality Risk in Online Posts

Automatic Annotation of Dream Report’s Emotional Content with Large Language Models

Detecting a Proxy for Potential Comorbid ADHD in People Reporting Anxiety Symptoms from Social Media Data

Claire Lee | Noelle Lim | Michael Guerzhoy |

A Dual-Prompting for Interpretable Mental Health Language Models

Comparing panic and anxiety on a dataset collected from social media

Sandra Mitrović | Oscar William Lithgow-Serrano | Carlo Schillaci |

Detecting Suicide Risk Patterns using Hierarchical Attention Networks with Large Language Models

Koushik L | Vishruth M | Anand Kumar M |

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

Vu Tran | Tomoko Matsui |