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Found 7 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.
Transformer based ensemble for emotion detection
Detecting emotions in languages is important to accomplish a complete interaction between humans and machines.
