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Question Answering for Link Prediction and Verification

  • Maria KhvalchikEmail author
  • Artem Revenko
  • Christian Blaschke
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11762)

Abstract

In this work we tackle the link prediction task in knowledge graphs. Following recent success of Question Answering systems in outperforming humans, we employ the developed tools to identify and verify new links. To identify the gaps in a knowledge graph, we use the existing techniques and combine them with Question Answering tools to extract concealed knowledge. We outline the overall procedure and discuss preliminary results.

Keywords

Link prediction Knowledge graph completion Question answering Relation extraction 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Maria Khvalchik
    • 1
    Email author
  • Artem Revenko
    • 1
  • Christian Blaschke
    • 1
  1. 1.Semantic Web CompanyViennaAustria

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