Table 2 Teams and Their Approaches in the HOPE 2023 Shared Task.
From: Multilingual identification of nuanced dimensions of hope speech in social media texts
Team | Learning approach | Method | F1 Score (Spanish) | F1 Score (English) |
|---|---|---|---|---|
Zootopi26 | Transformer | ChatGPT | 0.916 | 0.4429 |
I2C-Huelva24 | Transformer | BERTuit | 0.5012 | 0.501 |
NLP URJC27 | Transformer | RoBERTa | 0.710 | 0.482 |
Habesha25 | Traditional ML | SVM | 0.481 | 0.489 |
Zavira28 | Traditional ML | KNN (Spanish), SVM (English) | 0.657 | 0.482 |
UMUTeam29 | Transformer | Various LLMs | 0.710 | 0.482 |
LIDOMA30 | Neural networks | CNN | 0.500 | 0.450 |
NLP_SSN_CSE31 | Traditional ML | Various | 0.591 | 0.368 |
