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@@ -17,7 +17,7 @@ We present the advantages and weaknesses of each paradigm in terms of different
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; 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 KGC methods; (2) We provide a theoretical and empirical analysis of the generative KGC methods;
(3) We propose several research directions that can be developed in the future. (3) We propose several research directions that can be developed in the future.
For more resources about knowledge graph construction, please check our tookit [DeepKE](https://github.com/zjunlp/DeepKE) and [PromptKG](https://github.com/zjunlp/PromptKG). For more resources about knowledge graph construction, please check our tookit [DeepKE](https://github.com/zjunlp/DeepKE).
## *👋 News!* ## *👋 News!*
- Congratulations! Our work has been accepted by the EMNLP2022 main conference. - Congratulations! Our work has been accepted by the EMNLP2022 main conference.