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)
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...
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关键词
Deep learning,Convolution,Bit error rate,Neural networks,Transformers,Cultural differences
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