Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering读书笔记
通过GGNN对semantic graph进行打分 框架 1.semantic graph的生成 识别问句中的entity（S-MART工具），再通过定义的个action生成所有可能的查询图 2.semantic graph打分 通过GGNN，经过多次领域信息融合，最终将question node的表征通过非线性变换得到查询图的表征，与问题表征计算余弦相似度 3.训练 能得
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相关文章
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