Research on Tibetan Satirical Dialogue Recognition Based on Deep Learning
In response to the difficulty of detecting ironic expressions in emotion classification research and the lack of research on Tibetan sarcasm recognition,a dataset of Tibetan sarcasm dialogue was created and the advantage of Prompt learning method in pre-training model fine-tuning was used to identify Tibetan sarcasm di-alogue with BERT and Prompt.The experimental results show that the proposed method is superior to those on the BERT-based sentence-level satire dataset(no context information),and validate the feasibility of the pro-posed method,hoping to provide an effective reference for the Tibetan satire recognition task in the future.
NETL
NSTL
万方数据
