Table 3.

The performance of the 6 models using the reduced training data set.

Model	Accuracy	Precision	Recall	Macro F1
BERTa	0.831	0.781	0.776	0.771
XLNet	0.839	0.797	0.759	0.773
ERNIEb	0.822	0.754	0.765	0.751
RoBERTac	0.832	0.7952	0.770	0.776
Ensemble (Voting)	0.832	0.795	0.770	0.776
Our model	0.834	0.790	0.785	0.780

^aBERT: Bidirectional Encoder Representations from Transformers.

^bERNIE: Enhanced Representation through Knowledge Integration.

^cRoBERTa: A Robustly Optimized BERT Pretraining Approach.