Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction
Table 2: Precisions on the Wikidata dataset.
['Recall', '0.1', '0.2', '0.3', 'AUC']
We show the precision numbers for some particular recalls as well as the AUC in Table 2, where PCNN+ATT (1) refers to train sentences with two entities and one relation label, PCNN+ATT (m) refers to train sentences with four entities7 and two relation labels. We observe that our model exhibits the best performances.