Classification retrieval-based automatic question and answer method and system

An automatic question answering and questioning technology, applied in the computer field, can solve problems such as complex questions, and achieve the effect of improving accuracy, meticulous and accurate answers, and clear answering steps.

Inactive Publication Date: 2018-04-06
NANJING UNIV
View PDF4 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The problem to be solved by the present invention is: how to automatically answer middle school geography short-answer questions in specific fields, questions that are relatively complex, questions that can be classified, and questions that have corresponding retrieval methods for different categories through the set knowledge base

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
  • Classification retrieval-based automatic question and answer method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The present invention splits complex questions into a number of simple questions with clear structure and clear semantics, and after classifying the split simple questions, retrieves the answers in the template knowledge base of the corresponding category, thereby automatically answering the questions in the middle school. Geography short-answer questions are specific fields, the questions are more complex, the questions can be classified, and different categories have corresponding retrieval methods.

[0025] Take the middle school geography short-answer class question as an example to illustrate below, the inventive method comprises the following steps: first a middle school geography short-answer class question is carried out Chinese natural language processing, realize word segmentation, part-of-speech tagging, syntactic analysis etc., generate syntax tree; Then Split the question sentence according to the key verbs and conjunctions in the sentence, and obtain severa...

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 classification retrieval-based automatic question and answer method and system. The method comprises the steps of firstly performing Chinese natural language processing on ashort-answer question to generate a syntax tree, and then according to key verbs and conjunctions in a question sentence, splitting the complex question sentence containing multiple sub-questions intosimple question sentences having more definite semantics and only containing single questions; secondly classifying the simple question sentences by using triggering words corresponding to predefinedquestion sentence types, extracting key information required by question sentence templates of the types from the question sentences, and correspondingly filling template slots to form question sentence templates containing all information required for question answering; thirdly according to the types of the question sentence templates, retrieving keywords in a corresponding template knowledge base according to the key information in the template slots to obtain multiple candidate answers; and finally, selecting optimal answers from the candidate answers as answers of the simple question, and then integrating the answers of all the simple question to obtain a final answer.

Description

technical field [0001] The invention belongs to the field of computer technology, and relates to natural language processing and automatic question-and-answer technology. Question and answer method. Background technique [0002] Natural language processing (natural language processing) is a sub-discipline in the field of artificial intelligence and linguistics. It studies various theories and methods that can realize effective communication between humans and computers using natural language. The key to processing natural language is to allow computers to "understand" natural language so that computers can interact with humans. The key technologies of natural language processing include Chinese word segmentation, part-of-speech tagging, syntactic analysis, named entity recognition, reference resolution, dependency analysis, etc. [0003] Question answering system (question answering system), based on information retrieval technology and natural language processing, can aut...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/3329G06F16/3344G06F40/211G06F40/289G06F40/30
Inventor 张昊何硙卓邵菲程龚瞿裕忠
Owner NANJING 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