Chinese question-answering system based on neural network

A neural network and question answering system technology, applied in the field of information retrieval, can solve problems such as narrow coverage, low system accuracy and recall rate, user experience damage, etc., to avoid space overhead and improve accuracy.

Inactive Publication Date: 2009-10-28
HUAZHONG NORMAL UNIV
View PDF0 Cites 116 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, compared with English, Chinese has the characteristics of flexible words and complex and changeable syntax. Simple imitation of English automatic question answering technology has led to the prevale

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Chinese question-answering system based on neural network
  • Chinese question-answering system based on neural network
  • Chinese question-answering system based on neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] Below in conjunction with accompanying drawing and example the present invention is described in further detail.

[0030] Such as figure 1 As shown, the Chinese question answering system provided by the embodiment of the present invention includes a user interface module 10, a question pre-segmentation module 20, a neuron pre-marking module 30, a learning and training module 40, a neuron knowledge base module 50, a semantic block recognition module 60, The question set indexing module 70, the answer reasoning module 80 and the additional sample supplementary learning module 90, each module can be implemented by those skilled in the art using computer software technology according to the technical solution of the present invention.

[0031] The user interface module 10 is used to realize user interaction, including two functions: one is to accept user input questions, then check the expression of the user input questions, and submit the checked user input questions to th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a Chinese question-answering system based on a neural network, which comprises a user interface module, a question word pre-segmentation module, a nerve cell pre-tagging module, a learning and training module, a nerve cell knowledge base module, a semantic block identification module, a question set index module and an answer reasoning module. The system comprises the steps of: firstly adopting an SIE encoding mode to encode the in-vocabulary words of the semantic block according to corresponding position, later converting an identification problem of the question semantic block into a tagging classification problem, and then adopting a classification model based on the neural network to determine the semantic structure of the question, and finally combing the semantic structure of the question to realize the question similarity computation based on the neural network and comparing the weight of various semantic features of the question by extracting the tagged semantic features of the question, thereby providing a basis for final answer reasoning. The Chinese question-answering system integrates the syntax, the semantics and the contextual knowledge of the question and can simulate the process that human beings process the sentence.

Description

technical field [0001] The invention belongs to the technical field of information retrieval, in particular to a Chinese question answering system based on a neural network. Background technique [0002] Question Answering System (Question Answering System) refers to a system that can answer questions that are input by computer users and described in natural language, and is generally implemented by computer software system technology. The question answering system integrates natural language processing, information retrieval, and knowledge representation, and is increasingly becoming a research hotspot in the world. It not only allows users to ask questions in natural language, but also returns users a concise and accurate answer instead of some related web pages. Therefore, compared with traditional search engines that rely on keyword matching, the question answering system can better meet the user's retrieval needs and find out the answers that users need more accurately...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/30G06F17/27G06N3/08
Inventor 何婷婷张茂元陈龙张勇胡泊张红春吴宝珍刘星星
Owner HUAZHONG NORMAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap