An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global
An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge
2017 ACL WQ42.9
Candidate Generation
Freebase API method is able to resolve as many as 86% questions if we use the top1 result
After getting the topic entity, we collect all the entities directly connected to it and the ones connected with 2-hop5
Overview
1)从问题当中,确认topic entity,从Freebase党章产生候选答案
2)一个交叉神经网络去表示,问题和答案
3)相似度函数,计算相似度
we employ four kinds of answer aspects:
answer entity ae
answer relation ar,
answer type at
answer context ac