FiSSA at SemEval-2020 Task 9: Fine-tuned For Feelings

24 Jul 2020Bertelt BraaksmaRichard ScholtensStan van SuijlekomRemy WangAhmet Üstün

In this paper, we present our approach for sentiment classification on Spanish-English code-mixed social media data in the SemEval-2020 Task 9. We investigate performance of various pre-trained Transformer models by using different fine-tuning strategies... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper