An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge

@inproceedings{Hao2017AnEM,
  title={An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge},
  author={Yanchao Hao and Yuanzhe Zhang and Kang Liu and Shizhu He and Zhanyi Liu and Hua Wu and Jun Zhao},
  booktitle={ACL},
  year={2017}
}
With the rapid growth of knowledge bases (KBs) on the web, how to take full advantage of them becomes increasingly important. Question answering over knowledge base (KB-QA) is one of the promising approaches to access the substantial knowledge. Meanwhile, as the neural network-based (NN-based) methods develop, NN-based KB-QA has already achieved impressive results. However, previous work did not put more emphasis on question representation, and the question is converted into a fixed vector… Expand
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