Leveraging LLM-Generated Data for Detecting Depression Symptoms on Social Media.
| Anthology ID: | DBLP:conf/clef/Bucur24 |
|---|---|
| Volume: | Experimental IR Meets Multilinguality, Multimodality, and Interaction - 15th International Conference of the CLEF Association, CLEF 2024, Grenoble, France, September 9-12, 2024, Proceedings, Part I |
| Year: | 2024 |
| Venue: | Conference and Labs of the Evaluation Forum (CLEF) |
| Publisher: | Springer |
| Pages: | 193-204 |
| URL: | https://doi.org/10.1007/978-3-031-71736-9_14 |
| DOI: | https://doi.org/10.1007/978-3-031-71736-9_14 |
| DBLP: | conf/clef/Bucur24 |
| BibTeX: |
@inproceedings{bucur-2024-leveraging,
author = {Ana-Maria Bucur},
editor = {Lorraine Goeuriot and
Philippe Mulhem and
Georges Qu\'{e}not and
Didier Schwab and
Giorgio Maria Di Nunzio and
Laure Soulier and
Petra Galusc\'{a}kov\'{a} and
Alba Garcia Seco de Herrera and
Guglielmo Faggioli and
Nicola Ferro},
title = {{Leveraging LLM-Generated Data for Detecting Depression Symptoms on Social Media}},
booktitle = {{Experimental IR Meets Multilinguality, Multimodality, and Interaction - 15th International Conference of the CLEF Association, CLEF 2024, Grenoble, France, September 9-12, 2024, Proceedings, Part I}},
series = {Lecture Notes in Computer Science},
volume = {14958},
pages = {193--204},
publisher = {Springer},
year = {2024},
url = {https://doi.org/10.1007/978-3-031-71736-9_14},
doi = {https://doi.org/10.1007/978-3-031-71736-9_14}
}