[KG-BERT 논문 리뷰] KG-BERT: BERT for Knowledge Graph Completion

1. 핵심 요약 

• KBC tasks에 pre-trained LM 이용
• knowledge graph의 triples를 textual sequence로 인식 → 이러한 triples를 만들기 위해 KG-BERT라는 새로운 framework 제안
  • input : entity, relation description of a triple → computes scoring function of the triple
  • 결과 : triple classification, link prediction, relation prediction tasks에서 SOTA 달성

 

2. 논문 링크

https://arxiv.org/abs/1909.03193

KG-BERT: BERT for Knowledge Graph Completion

 

3. 논문 설명 링크 

https://coding-moomin.notion.site/KG-BERT-BERT-for-Knowledge-Graph-Completion-e2df6f2936904ec2a460dc801a5de564

[KG-BERT] BERT for Knowledge Graph Completion