Term definition discriminating and analysis method based on Internet

Abstract

The invention relates to the field of natural language processing, in particular to a term definition discriminating and analysis method based on the Internet. The problems that one term has multiple definitions, and the definition standardability and accuracy are poor are mainly solved. According to the technical scheme, the method is characterized by comprising the steps of obtaining term definitions to be discriminated and analyzed and a reference paraphrase, expressing the term definitions, calculating similarity, obtaining a term definition template, calculating term definition reliability and selecting a discriminating and analysis result. The constructed reference paraphrase considers the characteristics of term definition accuracy and professionality, a quintuple expression method of the term definitions is utilized for calculating the term definition similarity, the similarity among term definition feature words and semantic similarity among the definitions are considered, and the similarity among the term definitions is described better. The matching template of the term definitions is concluded to adjust the similarity among the term definitions, and the reliability of the term definitions is more accurate. According to the method, the good discriminating and analysis effect is achieved, and the problem that the term definitions are nonstandard and inaccurate can be solved.

Description

technical field [0001] The invention belongs to the field of natural language processing, and in particular relates to an Internet-based method for distinguishing and analyzing term definitions. Background technique [0002] With the vigorous development of Web2.0, the data is growing explosively. There are more and more cases where a term has multiple definitions. The problem of irregularity and inaccuracy of term definitions is becoming more and more prominent. It is very urgent to extract and discriminate. [0003] Term definition analysis refers to the process of comparing multiple definitions of a term and selecting the definition that best describes the concept referred to by the term, which can provide more accurate results for term definition extraction. At present, no one has put forward the definition of terminology as an independent research point for special research. In the term extraction method, there are mainly the following methods: manually summarize the ...

AI Technical Summary

Problems solved by technology

The accuracy rate of the method that only uses statistics is very low, while the accuracy rate of the method that combines machine learning and template matching can be improved to a certain extent, but it is still not high

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