Question Answering over Freebase via Attentive RNN with Similarity Matrix based CNN

Understand

With the rapid growth of knowledge bases (KBs), question answering over knowledge base, a.k.a.

• KBQA has drawn huge attention in recent years.
• Most of the existing KBQA methods follow so called encoder-compare framework.
• They map the question and the KB facts to a common embedding space, in which the similarity between the question vector and the fact vectors can be conveniently computed.