Papers by Linlin Chao

1 papers
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors (2021.acl-long)

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Challenge: Existing knowledge graph embedding methods fail to solve two major problems at the same time, leading to unsatisfactory results.
Approach: They propose a model with paired vectors for each relation representation that can be adaptively adjusted to fit for different complex relations.
Outcome: Experiments on two knowledge graph datasets show the proposed model can handle complex relations and encode relation patterns.

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