Word, Mention and Entity Joint Embedding for Entity Linking

نویسندگان

  • Zhichun Wang
  • Danlu Wen
  • Yong Huang
  • Chu Li
چکیده

Entity linking is a important for connecting text data and knowledge bases. This poster presents a word, mention and entity joint embedding method, which can be used in computing semantic relatedness in entity linking approaches.

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تاریخ انتشار 2016