Confidence-aware embedding for knowledge graph entity typing

HIGHLIGHTS

  • who: Entity Typing and colleagues from the Fintech Innovation Center, School of Computer Science, Southwestern University of Finance and Economics, Chengdu, China have published the Article: Confidence-Aware Embedding for Knowledge Graph Entity Typing, in the Journal: Complexity of 16/04/2021
  • what: To address this problem the authors propose ConfE a novel confidence-aware embedding approach for modeling the (entity type) tuples which takes tuple confidence into consideration for learning better embeddings. The authors evaluate the model on two tasks including type noise detection and type prediction. The authors focus on dealing with entity . . .

     

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