A Chinese question mapping method based on lda

A mapping method and problem technology, applied in the field of computer software, can solve the problems of dependence accuracy, large classification accuracy, errors, etc., and achieve the effect of reasonable design and improved accuracy
CN107423439BActive Publication Date: 2021-03-02识因智能科技(北京)有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
识因智能科技(北京)有限公司
Publication Date
2021-03-02

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Abstract

The invention discloses an LDA-based Chinese question mapping method, which includes using the LDA topic model to classify the document base, and then using the Softmax regression model to classify the part-of-speech of the question, and according to the difference of the part-of-speech classification, the weight of the content word is higher than that of the function word High, but the weights of different parts of speech in content words are not the same, and then use the syntactic analysis based on dependency grammar to find out the dependency relationship of words in the sentence, and give different weights according to the different components of words in the sentence, so the problem The weight of each word in is obtained by the product of two parts, and finally, according to Bayesian rules, the connection is established through the weighted distribution of words in the question and the distribution of topics and terms in the document. The topic model based on LDA classifies the documents, and at the same time, assigns different weights by referring to the part of speech of the terms in the question sentence and the components in the sentence, so as to improve the role of important terms in classification and improve the mapping of Chinese questions. accuracy.
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Description

technical field

[0001] The invention relates to a Chinese question mapping method, in particular to an LDA-based Chinese question mapping method, and belongs to the field of computer software. Background technique

[0002] With the rapid development of Internet technology, search engines can provide people with various online information quickly and conveniently. Early search engines required users to submit keywords for query, and then the system returned to the user a list of web documents related to the query. Such limited keywords sometimes cannot fully express the user's query intention, and even not all users can accurately Give all kinds of keywords you want to query. Therefore, people urgently need a more efficient and convenient way to obtain information from the Internet. The question answering system was born under such a background. It allows users to ask questions in natural language and then directly returns accurate answers.

[0003] Automatic question answe...

Claims

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