Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text

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We propose a new model, JEANS, which jointly represents multilingual knowledge graph and text corpora in a shared embedding scheme, and seeks to improve entity alignment with incidental supervision signals from text

Abstract:

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, w...More

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