论文标题
基于变压器的合奏以进行情感检测
Transformer based ensemble for emotion detection
论文作者
论文摘要
在语言中检测情绪对于完成人类与机器之间的完全互动很重要。本文描述了我们对WASSA 2022共享任务的贡献，该任务处理了这一至关重要的情绪检测任务。我们必须确定以下情绪：基于给定的论文文本，悲伤，惊喜，中立，愤怒，恐惧，厌恶，喜悦。我们正在使用Electra和Bert模型的合奏来解决此问题，以达到62.76美元的F1分数。我们的代码库（https://bit.ly/wassa_shared_task）和我们的wandb项目（https://wandb.ai/acl_wassa_pictxmanipal/acl_wassa）是公开的。
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.
