Papers by Weiran Pan

1 papers
Context-aware Entity Typing in Knowledge Graphs (2021.findings-emnlp)

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Challenge: Existing methods for knowledge graph entity typing are embedding-based and graph convolutional networks (GCNs) . Existing approaches for knowledge Graph Entity Typing (KGET) are incomplete and require multiple inference mechanisms.
Approach: They propose a method that uses entities’ contextual information to infer missing types in knowledge graphs by using two inference mechanisms: N2T and Agg2T.
Outcome: The proposed method can infer entities' missing types by completing two real-world KGs.

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