Improving Neural Relation Extraction with Positive and Unlabeled Learning
Table 2: Accuracy on relation extraction based on selected sentences
['Accuracy', 'Top 100', 'Top 300']
To demonstrate the precision of the positive sentences selected by our instance selector, we evaluate our proposed sentence selection module by manual method. We report the P@100 and P@300 entity-relation tuples generated by the sentence selection module. From the table, we can see that both CNN+PU and PCNN+PU can achieve high accuracy by the sentence selection module. It indicates that the selected sentences by our selector is reliable.