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arxiv 2203.11899 v2 pith:PFOJF74E submitted 2022-03-22 cs.CL

Transformer based ensemble for emotion detection

classification cs.CL
keywords wassataskdetectionemotionemotionsensemblehttpsshared
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Detecting emotions in languages is important to accomplish a complete interaction between humans and machines. This paper describes our contribution to the WASSA 2022 shared task which handles this crucial task of emotion detection. We have to identify the following emotions: sadness, surprise, neutral, anger, fear, disgust, joy based on a given essay text. We are using an ensemble of ELECTRA and BERT models to tackle this problem achieving an F1 score of $62.76\%$. Our codebase (https://bit.ly/WASSA_shared_task) and our WandB project (https://wandb.ai/acl_wassa_pictxmanipal/acl_wassa) is publicly available.

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