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Design And Implementation On The Question Answering System In The Junior High School Mathematics

Posted on:2019-06-17Degree:MasterType:Thesis
Country:ChinaCandidate:L X LuoFull Text:PDF
GTID:2428330545496549Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the continuous improvement of China's economic hard power,the demand for educational soft power is also increasing.People's increasing emphasis on education has brought about fierce competition for further studies,and students' learning pressure and learning burden have increased.However,the actual teaching methods can not meet the students' needs of answering questions.Students hope that they can answer questions one by one in a question and answer manner whenever and wherever they encounter knowledge.Therefore,in the era of the Internet,it has become feasible to establish a question and answer system in the field of mathematics in junior high schools.This paper designs a multi-strategy junior high school mathematics question answering system.For basic knowledge,similarity matching method is used to select the answer.First,the input question is divided into Chinese word segmentation,problem classification,keyword extraction,and keyword expansion to form a set of keyword collections;then,the problem types are judged to form a candidate problem set,and the keyword collection and candidate questions are formed.The collection performs similarity calculation to obtain a result set.Finally,the result set is sorted to select the item with the highest similarity as the output.For the one-item one-time equation application problem,using the text information extraction method and the HowNet knowledge system description language method,the expression of the average class of one-dimensional equation equations is formalized.In addition,according to the meaning of the information extraction mode,combined with the mathematical operation method,the definition of the formal expression of the knowledge operation set and its representation method are proposed.This definition extracts useful information from mathematics applications and assigns specific calculation values to the computational variables in the knowledge computing set.Finally,using the B/S model,through the SpringBoot framework,the Chinese Q&A system in the field of junior mathematics was developed.The main work of this article mainly includes:(1)Perform knowledge extraction on existing semi-structured electronic documents,use crawlers to crawl unstructured page knowledge on the Internet,and construct the knowledge base of junior mathematics mathematics and establish a dictionary of junior high school mathematics.(2)The natural language processing technology is used to analyze the question sentence,and then combined with the similarity calculation method of the sentence,the answer set is combined and the threshold is set.Finally,the answer set is sorted,and the item with the highest score is selected as the best matching result..(3)Formally define the application of mono-primary equations.According to the HowNet knowledge system description language,formal expressions are applied to the application of the univariate equation of the average class problem.(4)According to information extraction mode and mathematical algorithm,this paper proposes a formal definition of knowledge operation set and its representation method,and solves the application of the unary equation of the average class problem.(5)A multi-strategy junior high school mathematics question answering system was developed to provide junior middle school students with answers to frequently asked questions about basic knowledge of mathematics and certain average class one-dimensional equations.(6)The experiment was designed to analyze the four different sentences similarity algorithms,and the advantages and disadvantages of each algorithm were obtained,and the optimal sentence similarity algorithm was adopted as the key algorithm of this paper.
Keywords/Search Tags:Question Answering System, Natural Language Process, Junior mathematics
PDF Full Text Request
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