Cross-lingual Entity Alignment with Incidental Supervision

@inproceedings{Chen2021CrosslingualEA,
  title={Cross-lingual Entity Alignment with Incidental Supervision},
  author={Muhao Chen and Weijia Shi and Ben Zhou and Dan Roth},
  booktitle={EACL},
  year={2021}
}
Much research effort has been put to multilingual knowledge graph (KG) embedding methods to address the entity alignment task, which seeks to match entities in different languagespecific KGs that refer to the same real-world object. Such methods are often hindered by the insufficiency of seed alignment provided between KGs. Therefore, we propose a new model, JEANS , which jointly represents multilingual KGs and text corpora in a shared embedding scheme, and seeks to improve entity alignment… 

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