Humor Detection Using a Bidirectional Encoder Representations from Transformers (BERT) based Neural Ensemble Model

2021 8th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA)(2021)

引用 0|浏览1
暂无评分
摘要
A lot of research has been done to aim to find out what makes someone laugh in a text. In recent years, detecting humor in written sentences has shown to be a fascinating and challenging endeavor. We describe a mechanism for identifying humor in brief texts in this paper. We employ a Bidirectional Encoder Representations from Transformers (BERT) architecture because of its benefits in learning fro...
更多
查看译文
关键词
Deep learning,Convolution,Bit error rate,Neural networks,Transformers,Cultural differences
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要