Automatic depression score estimation with word embedding models A Pérez, J Parapar, Á Barreiro Artificial Intelligence in Medicine 132, 102380, 2022 | 20 | 2022 |
Bdi-sen: A sentence dataset for clinical symptoms of depression A Pérez, J Parapar, Á Barreiro, S Lopez-Larrosa Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 7 | 2023 |
TemporalWord Embeddings for Early Detection of Signs of Depression. M Couto, A Pérez, J Parapar CIRCLE, 2022 | 6 | 2022 |
Semantic Similarity Models for Depression Severity Estimation A Pérez, N Warikoo, K Wang, J Parapar, I Gurevych EMNLP 2023, 16104–16118, 2022 | 5 | 2022 |
DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers A Pérez, M Fernández-Pichel, J Parapar, DE Losada arXiv preprint arXiv:2308.10758, 2023 | 3 | 2023 |
Multiple-choice question answering models for automatic depression severity estimation J Gabín, A Pérez, J Parapar Engineering Proceedings 7 (1), 23, 2021 | 3 | 2021 |
Psyprof: A platform for assisted screening of depression in social media A Pérez, P Piot-Pérez-Abadín, J Parapar, Á Barreiro European Conference on Information Retrieval, 300-306, 2023 | 2 | 2023 |
Designing an open source virtual assistant A Pérez, P Lopez-Otero, J Parapar Proceedings 54 (1), 30, 2020 | 2 | 2020 |
Conversations in Galician: a Large Language Model for an Underrepresented Language E Bao, A Pérez, J Parapar arXiv preprint arXiv:2311.03812, 2023 | 1 | 2023 |
Explainable Depression Symptom Detection in Social Media EB Souto, A Pérez, J Parapar arXiv preprint arXiv:2310.13664, 2023 | 1* | 2023 |
Depression Severity Estimation on the Internet: New Models and Resources A Pérez | | 2023 |