論文分享 - An End-to-End Model for QA over KBs with Cross-Attention Combining Global Knowledge
一、概要 該文章發於ACL 2017，在Knowledge base-based question answering (KB-QA)上，作者針對於前人工作中存在沒有充分考慮候選答案的相關信息來訓練question representation的問題，提出了一個使用Cross-Attention機制的神經網絡模型來針對於候選答案的不同方面信息來訓練模型；並且訓練知識庫的全局信息學習，在一定程度
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相關文章
- 1. An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global
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