Papers by Weiran Pan
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. |