Repositório com os notebooks, datasets e referências usadas para a apresentação no GEAM (Grupo de Estudos em Aprendizagem de Máquina) sobre o uso de gramáticas computacionais para aumentação de dados de texto.
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Site GF : https://www.grammaticalframework.org/
Lib para data augmentation usada : https://github.com/dsfsi/textaugment#wordnet-based-augmentation
Github da geração das gramáticas : https://github.com/dominickmaia/gfgrammars/tree/main/tweets
Google Transphobic Searches : https://www.them.us/story/google-autocomplete-suggestions-transphobia-celebrities
AI Racism Brazil : https://restofworld.org/2022/how-ai-reinforces-racism-in-brazil/
Google Translate is Sexist : https://scroll.in/article/991275/google-translate-is-sexist-and-it-needs-a-little-gender-sensitivity-training
The algorithm that helped google translate become sexist : https://www.forbes.com/sites/parmyolson/2018/02/15/the-algorithm-that-helped-google-translate-become-sexist/?sh=94727b97daa2
Labeled Dataset Used : https://www.kaggle.com/datasets/kazanova/sentiment140
Artigo Recomendado : 'A Survey of Text Data Augmentation'