A Practical Framework for Relation Extraction with Noisy Labels Based on Doubly Transitional Loss
Table 5. Comparison of average precision (AP) for methods with different loss
['Methods', 'AP (%)']
We also conduct two more experiments. One only uses the explicit classification loss, and the other only uses the implicit classification loss. It shows that when using both loss functions, we have higher average precision.