Cross-lingual Entity Alignment viaJoint Attribute-Preserving Embedding
(c)
['FR→EN', 'EN→FR']
, we built three larger datasets by choosing 100 thousand ILLs between English and Chinese, Japanese and French in the same way as DBP15K. The threshold of relationship triples to select ILLs was set to 2. Each dataset contains several hundred thousand entities and several million triples. We set d=100,β=0.1 and keep other parameters the same as DBP15K. For JE, the training takes 2000 epochs as reported in its paper. Due to lack of space, only Hits@10 is reported. We found that similar results and conclusions stand for DBP100K compared with DBP15K, which indicate the scalability and stability of JAPE.