Jointly Learning Entity and Relation Representations for Entity Alignment
Relation Alignment
['Statics', 'Statics', 'Pre✓ Joint✓', 'Pre× Joint✓', 'Pre× Joint×']
So the neighbor information is of great importance to entities, and our model utilizes this information effectively. Also, an entity has higher possibility to be aligned in the joint alignment stage if more entities and relations in its neighborhood have been aligned, for these entities and relations offer precise information and help the embedding of the current entity. There is a gap in the frequency of occurrence in triples between relations that are aligned preliminarily or not, because relations with abundant objects are embedded accurately. Moreover, when a relation fails to be aligned in the preliminary stage, it is more likely to be aligned in the joint stage if it appears frequently, as the embedding of relations will improve with the embedding of entities together.