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Intelligent question-answer implementing method and system

An intelligent question answering and retrieval system technology, applied in the field of information query, can solve problems such as inability to solve low-frequency and unpopular questions, user needs, uneven answers, and inaccurate answers, so as to increase the search range of answers, improve accuracy, and answer precise effect

Active Publication Date: 2015-04-29
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The shortcomings of the above intelligent question answering system are: relying on the question answering system of the question answering site, the coverage of questions is low, and it cannot solve the user needs of low-frequency and unpopular questions; the answers are uneven, and the answers given are not accurate enough

Method used

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  • Intelligent question-answer implementing method and system

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] see Figure 1b , the method for implementing intelligent question and answer provided in this embodiment includes: operation 110 - operation 140 .

[0034] In operation 110, a question to be queried is received.

[0035] In this operation, the central control system receives the questions to be queried. The question to be queried by the user can be received through the text box set in the user interface, or the question to be queried by the user can be received through the action button set in the user interface, for example, through the action button for receiving the user's voice The voice input by the user is received, and the content corresponding to the input voice is obtained through voice recognition as a question to be queried.

[0036] It should be noted that the coverage of the received question to be queried can be very wide. In other words, it can be aimed at any question. Some question answering systems provide answers to questions with low satisfaction,...

Embodiment 2

[0093] On the basis of the above-mentioned embodiments, this embodiment provides another technical solution for implementing a method for intelligent question answering.

[0094] see Figure 2a , the method for implementing intelligent question and answer provided in this embodiment specifically includes: operation 210 - operation 240 .

[0095] In operation 210, a question to be queried is received.

[0096] In operation 220, semantic analysis is performed on the question, and it is obtained that the opinion type of the question is "previous sentence" or "next sentence".

[0097] This operation is also applicable to the operation of performing basic lexical analysis on the question in the foregoing embodiments, and the operation of identifying the focus, viewpoint and viewpoint type of the question, and will not be repeated here.

[0098]In operation 230, the semantic relation mining system obtains the answer to the question from the triple relation database.

[0099] In t...

Embodiment 3

[0120] In this embodiment, on the basis of the first embodiment, the operation of performing corresponding retrieval processing on the question according to the result of the semantic analysis is optimized as according to the result of the semantic analysis, the text database retrieval system The problem is searched and processed.

[0121] see image 3 , is a flow chart of a text database retrieval system performing retrieval processing on questions in a method for realizing intelligent question answering provided by Embodiment 3 of the present invention. It specifically includes: operation 310 - operation 330 .

[0122] In operation 310, related documents are searched.

[0123] Retrieve from the resource library to obtain the webpage text and click logs, and search for a collection of documents related to the problem.

[0124] In this operation, a search engine may be used to search for the problem, and recall a collection of related webpages as a collection of documents r...

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Abstract

The embodiment of the invention provides an intelligent question-answer implementing method and system. The method comprises receiving a question to be queried; performing semantic analysis on the question; according to the result of the semantic analysis, performing corresponding retrieval treatment on the question, wherein the retrieval treatment comprises retrieval treatment on the question by at least one of a semantic relation digging system, a text library retrieving system, a knowledge base retrieving system and a question-answer library retrieving system; feeding an answer back according to the result of the retrieval treatment. The intelligent question-answer implementing method effectively improve the accuracy of question answering.

Description

technical field [0001] The embodiment of the present invention relates to the technical field of information query, and in particular to a method and system for realizing intelligent question answering. Background technique [0002] The intelligent question answering system is an intelligent system based on massive Internet data reasoning and deep semantic understanding of language. The intelligent question-answering machine system can not only answer knowledge-based questions, but also be used in various fields closely related to people's lives, such as medical care, education, life, and technology, to greatly improve the efficiency of people's access to information. [0003] The existing intelligent question answering system is mainly based on community question answering. By mining historical user question / answer data, it calculates the similarity between user questions and existing questions in the question answering site, and returns user answers with high similarity. ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/2457G06F40/30G06N5/022G06F16/00G06F16/3329G06F16/24522G06F16/288G06F16/2465G06F16/2471G06F16/24578G06F16/951G06F16/3331G06F2216/03
Inventor 马艳军李国华孙兴武李兴建张伟萌韦豪杰廖梦宗明张希娟吴华王海峰
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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