Leveraging LLM-Generated Data for Detecting Depression Symptoms on Social Media.

Ana-Maria Bucur


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} }