公开(公告)号：US09582757B1

公开(公告)日：2017-02-28

申请号：US14341595

申请日：2014-07-25

Applicant: Amazon Technologies, Inc.

Inventor： Petra Elisabeth Holmes ,  Andrew Graham Fenn ,  Andrew Hopkinson ,  David Spike Palfrey ,  William Tunstall-Pedoe ,  Neil Copland

IPC: G06F17/00 ,  G06F17/20 ,  G06N5/02

CPC classification number: G06N3/006 ,  G06F17/3043 ,  G06N5/02 ,  G06N5/04 ,  G06N7/005

Abstract: A system and method is disclosed for improving automated question-answering using real-world knowledge from a knowledge base. The system can be used to answer questions from various users. The system can generate answers to these questions using data stored in a knowledge base. In some embodiments, the system is provided with a list of questions separate from any user questions. The system can be trained using these questions in advance of a user question. The system can process the presented questions to determine that it can generate high-quality correct answers. The system can take various steps to determine a high-quality answer to a question. The system can utilize human intelligence providers to improve this process, such as through a human interactive task system. Human intelligence can be used to determine that a question is understood, that a question is answered, and that the answer is of high quality.

Abstract translation: 公开了一种用于使用来自知识库的真实世界知识来改进自动化问答的系统和方法。 该系统可用于回答各种用户的问题。 系统可以使用存储在知识库中的数据来生成对这些问题的答案。 在一些实施例中，向系统提供与任何用户问题分离的问题列表。 系统可以在用户问题之前使用这些问题进行培训。 系统可以处理提出的问题，以确定它可以生成高质量的正确答案。 系统可以采取各种步骤来确定问题的高质量答案。 该系统可以利用人类智能提供者改善这一过程，例如通过人类交互任务系统。 可以使用人类智力来确定一个问题被理解，一个问题得到回答，答案是高质量的。

公开(公告)号：US20180157960A1

公开(公告)日：2018-06-07

申请号：US15443221

申请日：2017-02-27

Applicant: Amazon Technologies, Inc.

Inventor： Petra Elisabeth Holmes ,  Andrew Graham Fenn ,  Andrew Hopkinson ,  David Spike Palfrey ,  William Tunstall-Pedoe ,  Neil Copland

IPC: G06N3/00 ,  G06N5/02 ,  G06N7/00 ,  G06F17/30

CPC classification number: G06N3/006 ,  G06F16/24522 ,  G06N5/02 ,  G06N5/04 ,  G06N7/005

Abstract: A system and method is disclosed for improving automated question-answering using real-world knowledge from a knowledge base. The system can be used to answer questions from various users. The system can generate answers to these questions using data stored in a knowledge base. In some embodiments, the system is provided with a list of questions separate from any user questions. The system can be trained using these questions in advance of a user question. The system can process the presented questions to determine that it can generate high-quality correct answers. The system can take various steps to determine a high-quality answer to a question. The system can utilize human intelligence providers to improve this process, such as through a human interactive task system. Human intelligence can be used to determine that a question is understood, that a question is answered, and that the answer is of high quality.