Relation classification via knowledge graph enhanced transformer encoder

作者：

Highlights：

• Proposed a knowledge graph enhanced transformer for relation classification.

• Proposed an embedding translation model to embed the words and entities.

• Proposed a triplet embedding model to augment the interaction of triples.

摘要

•Proposed a knowledge graph enhanced transformer for relation classification.•Proposed an embedding translation model to embed the words and entities.•Proposed a triplet embedding model to augment the interaction of triples.

论文关键词：Relation classification,Knowledge graph embedding,Transformer

论文评审过程：Received 4 November 2019, Revised 23 July 2020, Accepted 24 July 2020, Available online 6 August 2020, Version of Record 10 August 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106321