Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Generative Knowledge Graph Construction (KGC) refers to those methods that leverage the sequence-to-sequence framework for building knowledge graphs, which is flexible and can be adapted to widespread tasks.In this study, we summarize the recent compelling progress in generative knowledge graph construction.We present the advantages and weaknesses of each paradigm in terms of different generation targets and provide theoretical insight and empirical analysis.Based on the review, we suggest promising research directions for the future.Our contributions are threefold: (1) We present a detailed, complete taxonomy for the generative KGC methods; (2) We provide a theoretical and empirical analysis of the generative…

• NN
  National Natural Science Foundation of China

  Awards: U19B2027, No.62206246, 62206246, 91846204
• NS
  Natural Science Foundation of Ningbo

  Awards: 2021J1, 2021J190
• NS
  Natural Science Foundation of Zhejiang Province

  Award: LGG22F030011