KGGen: A Generative Approach for Incipient Knowledge Graph Population

IEEE Transactions on Knowledge and Data Engineering(2022)

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摘要
Knowledge graph is becoming an indispensable resource that offers structured information for numerous AI applications. However, the knowledge graph often suffers from its incompleteness. Building a complete, high-quality knowledge graph is time-consuming and requires significant human annotation efforts. In this paper, we study the Knowledge Graph Population task, which aims at extending the scale...
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Bit error rate,Sociology,Statistics,Decoding,Task analysis,Generators,Training
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