DepSign@RANLP2023

Deep Learning Brasil group submission at Depsign 2023.

We released our MentalBERTa model and pretraining data on HuggingFace Hub.

Requirements

pip install -r docker/requirements.txt

All experiments were made on V100 GPU (32GB).

Citation

@inproceedings{garcia-etal-2023-deeplearningbrasil,
    title = "{D}eep{L}earning{B}rasil@{LT}-{EDI}-2023: Exploring Deep Learning Techniques for Detecting Depression in Social Media Text",
    author = "Garcia, Eduardo  and
      Gomes, Juliana  and
      Barbosa Junior, Adalberto Ferreira  and
      Borges, Cardeque Henrique Bittes de Alvarenga  and
      da Silva, Nadia F{\'e}lix Felipe",
    editor = "Chakravarthi, Bharathi R.  and
      Bharathi, B.  and
      Griffith, Joephine  and
      Bali, Kalika  and
      Buitelaar, Paul",
    booktitle = "Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion",
    month = sep,
    year = "2023",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd., Shoumen, Bulgaria",
    url = "https://aclanthology.org/2023.ltedi-1.42",
    pages = "272--278",
}

Acknowledgments

This work has been supported by the AI Center of Excellence (Centro de Excelência em Inteligência Artificial – CEIA) of the Institute of Informatics at the Federal University of Goiás (INF-UFG).