| # DepRoBERTa | |
| DepRoBERTa (RoBERTa for Depression Detection) - language model based on RoBERTa-large and further pre-trained on depressive posts from Reddit. | |
| Model was part of the solution for [the Shared Task on Detecting Signs of Depression | |
| from Social Media Text](https://competitions.codalab.org/competitions/36410) at [LT-EDI-ACL2022](https://sites.google.com/view/lt-edi-2022/home). | |
| More information can be found in the following paper: [OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models](https://aclanthology.org/2022.ltedi-1.40/). | |
| Source code available [here](https://github.com/rafalposwiata/depression-detection-lt-edi-2022). | |
| If you use this model, please cite: | |
| ``` | |
| @inproceedings{poswiata-perelkiewicz-2022-opi, | |
| title = "{OPI}@{LT}-{EDI}-{ACL}2022: Detecting Signs of Depression from Social Media Text using {R}o{BERT}a Pre-trained Language Models", | |
| author = "Po{\'s}wiata, Rafa{\l} and | |
| Pere{\l}kiewicz, Micha{\l}", | |
| booktitle = "Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion", | |
| month = may, | |
| year = "2022", | |
| address = "Dublin, Ireland", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/2022.ltedi-1.40", | |
| doi = "10.18653/v1/2022.ltedi-1.40", | |
| pages = "276--282", | |
| } | |
| ``` |