HISQA SYSTEMS AND METHODS FOR HUMAN INSPIRED SIMPLE QUESTION ANSWERING HISQA

摘要

The present specification describes a system and a method for determining how to automatically answer questions such as Where did Harry Potter go to school? Carefully built knowledge graphs provide rich sources of facts. However, a challenge still remains to answer factual questions in a natural language due to tremendous variety of ways a question is able to be raised. The present specification discloses embodiments of a system and a method for human-inspired simple question answering (HISQA), that is, a deep-neural-network-based method for automatic question answering using a knowledge graph. Inspired by human actions in such task, the embodiments first find a correct entity via entity linking, and then seek proper relation so as to answer the question, in which the above two steps are both implemented by deep gated recurrent networks and neural embedding mechanism.