BriefGPT.xyz
Apr, 2020
基于图神经网络的子图引导知识图谱问题生成
Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks
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Yu Chen, Lingfei Wu, Mohammed J. Zaki
TL;DR
本研究提出了一种基于bidirectional Graph2Seq模型和节点级别复制机制来生成知识图谱子图问题的方法,并在自动和人工评估中取得了最新的最好表现,并显示了该方法可以作为数据增强方法,从而持续有益于问答任务。
Abstract
knowledge graph
question generation
(QG) aims to generate natural language questions from KG and target answers. Most previous works mainly focusing on the simple setting are to generate questions from a single K
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