Systems and methods for human inspired simple question answering (HISQA)

A technique of relations, answers, applied to the field of computing

Active Publication Date: 2017-05-10
BAIDU USA LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, such carefully constructed knowledge graphs remain challenging in answering fact-based questions posed in natural language, as questions can be posed in a variety of ways

Method used

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  • Systems and methods for human inspired simple question answering (HISQA)
  • Systems and methods for human inspired simple question answering (HISQA)
  • Systems and methods for human inspired simple question answering (HISQA)

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Embodiment Construction

[0021] In the following description, for purposes of explanation, specific details are set forth in order to provide an understanding of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced without these details. In addition, those skilled in the art will appreciate that the below-described embodiments of the present invention can be implemented in various ways, such as a program, an apparatus, a system, a device, or a method on a tangible computer-readable medium.

[0022] Components or modules shown in the figures illustrate exemplary embodiments of the invention and are intended to avoid obscuring the invention. It should also be understood that throughout this discussion, components may be described as separate functional units (which may include subunits), but those skilled in the art will recognize that various components, or portions thereof, may be divided into separate components, or may be integrated toge...

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Abstract

Described herein are systems and methods for determining how to automatically answer questions like ''Where did Harry Potter go to school '' Carefully built knowledge graphs provide rich sources of facts. However, it still remains a challenge to answer factual questions in natural language due to the tremendous variety of ways a question can be raised. Presented herein are embodiments of systems and methods for human inspired simple question answering (HISQA), a deep-neural-network-based methodology for automatic question answering using a knowledge graph. Inspired by human's natural actions in this task, embodiments first find the correct entity via entity linking, and then seek a proper relation to answer the question--both achieved by deep gated recurrent networks and neural embedding mechanism.

Description

technical field [0001] The present disclosure relates generally to computing technology, and more particularly to systems and methods for automatically answering questions posed in natural language and improving human-computer interaction. Background technique [0002] There are technical issues with how to automatically answer questions such as "Where did Harry Potter go to school?" A well-constructed knowledge graph provides a rich source of truth. However, such carefully constructed knowledge graphs remain challenging in answering fact-based questions posed in natural language, since questions can be posed in a variety of ways. [0003] Therefore, what is needed are systems and methods that provide a more efficient and accurate way to automatically answer questions. Contents of the invention [0004] It is an object of the present application to provide a computer-implemented method for providing answers to queries and a computer-implemented method for identifying top...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/3329G06F16/3344G06N5/022G06F16/9024G06F16/345G06N3/044G06F16/24578G06F16/2455G06N7/01
Inventor 李磊徐伟戴自航
Owner BAIDU USA LLC
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