Javier Parapar, Univ. A Coruña, Spain
Anxo Pérez Univ. A Coruña, Spain
Xi Wang @xiwang-sch.bsky.social, Univ. Sheffield, United Kingdom
Fabio Crestani, Univ. Lugano, Switzerland
Javier Parapar, Univ. A Coruña, Spain
Anxo Pérez Univ. A Coruña, Spain
Xi Wang @xiwang-sch.bsky.social, Univ. Sheffield, United Kingdom
Fabio Crestani, Univ. Lugano, Switzerland
1. Register: Sign up through the [CLEF 2025 Labs Registration site](lnkd.in/eHMMvQEB)
2. Submit Agreements: Complete the user agreement form to access datasets.
3. Join the Community: Join our Google Groups lnkd.in/eR2bJdXv! 🧵
1. Register: Sign up through the [CLEF 2025 Labs Registration site](lnkd.in/eHMMvQEB)
2. Submit Agreements: Complete the user agreement form to access datasets.
3. Join the Community: Join our Google Groups lnkd.in/eR2bJdXv! 🧵
T1: 1st Apri 2025
T2 & T3: 12th April 2025
- CLEF 2025 Conference: 9-12 Sep 2025, Madrid, Spain.
🧵
T1: 1st Apri 2025
T2 & T3: 12th April 2025
- CLEF 2025 Conference: 9-12 Sep 2025, Madrid, Spain.
🧵
- Dataset Release:
T1: 1st Dec. 2024 for training collections and test dataset
T2: 1st Dec. 2024 for training and 5th Feb. 2025, test stage begins (server opens)
T3: 5th Feb. 2025, test stage begins, (server opens for interacting with the LLM) 🧵
- Dataset Release:
T1: 1st Dec. 2024 for training collections and test dataset
T2: 1st Dec. 2024 for training and 5th Feb. 2025, test stage begins (server opens)
T3: 5th Feb. 2025, test stage begins, (server opens for interacting with the LLM) 🧵
Engage with LLM personas to identify depressive symptoms based on conversational exchanges. This is a pilot task. Participants will need to book a slot to interact with the LLM personas 🧵
Engage with LLM personas to identify depressive symptoms based on conversational exchanges. This is a pilot task. Participants will need to book a slot to interact with the LLM personas 🧵
Analyze full conversational contexts to detect early signs of depression. Evaluate sequential user interactions for a holistic view of conversational dynamics. 🧵
Analyze full conversational contexts to detect early signs of depression. Evaluate sequential user interactions for a holistic view of conversational dynamics. 🧵
Rank sentences from user writings by relevance to the 21 symptoms of the BDI-II questionnaire. Use a TREC-formatted dataset with human-assessed relevance judgments. Generate rankings for symptoms & create a valuable annotated corpus. 🧵
Rank sentences from user writings by relevance to the 21 symptoms of the BDI-II questionnaire. Use a TREC-formatted dataset with human-assessed relevance judgments. Generate rankings for symptoms & create a valuable annotated corpus. 🧵
Rank sentences from user writings by relevance to the 21 symptoms of the BDI-II questionnaire. Use a TREC-formatted dataset with human-assessed relevance judgments. Generate rankings for symptoms & create a valuable annotated corpus. 🧵
Rank sentences from user writings by relevance to the 21 symptoms of the BDI-II questionnaire. Use a TREC-formatted dataset with human-assessed relevance judgments. Generate rankings for symptoms & create a valuable annotated corpus. 🧵
Tasks for eRisk 2025 (More info at erisk.irlab.org ) 🧵
Tasks for eRisk 2025 (More info at erisk.irlab.org ) 🧵