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Found 6 papers, 2 papers with code
SenTest: Evaluating Robustness of Sentence Encoders
The results of the experiments strongly undermine the robustness of sentence encoders.
My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks
This is the first work that presents artifacts for code-mixed Marathi research.
A Twitter BERT Approach for Offensive Language Detection in Marathi
The MahaTweetBERT, a BERT model, pre-trained on Marathi tweets when fine-tuned on the combined dataset (HASOC 2021 + HASOC 2022 + MahaHate), outperforms all models with an F1 score of 98. 43 on the HASOC 2022 test set.
Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detection
Pre-training large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks.
Optimize_Prime@DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil
This paper presents the approach used by our team - Optimize_Prime, in the ACL 2022 shared task "Abusive Comment Detection in Tamil."
Optimize_Prime@DravidianLangTech-ACL2022: Emotion Analysis in Tamil
This paper aims to perform an emotion analysis of social media comments in Tamil.
