Named entity identification method for user request data

Abstract

The invention discloses a named entity identification method for user request data. The method comprises: obtaining a word segmentation set with part-of-speech through part-of-speech tagging; screening out the noun morphemes to serve as a first entity set; obtaining a name, a place name and an organization name in the request data through an entity extraction method; extracting a subject-called relationship, a verb-guest relationship and components having semantic association with sentence core words in the request data through a dependency analysis method to form a third entity set, and finally cleaning a first entity set, a second entity set and the third entity set on the basis of semantic analysis to obtain a final named entity recognition result. According to the method, the problem that the named entity identification accuracy of the request data is not high in the interaction process of the user and the intelligent equipment can be solved, so that the user intention identification rate is improved.

Description

technical field [0001] The invention relates to the technical field of computer natural language processing, in particular to a method for identifying named entities of user request data. Background technique [0002] With the rapid development of computer technology and information industry, more and more text information is growing explosively. How to quickly and accurately extract useful information from massive text information is very important. Natural language processing is an important direction in the field of computer science and artificial intelligence. Research on natural language processing and related technologies can help people interact with smart devices more conveniently and effectively, and then realize their true intentions. Named entity recognition is an important basic tool for information extraction and machine learning. It plays an important role in the process of natural language processing technology becoming practical. Named entity recognition is t...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the above-mentioned deficiencies in the background technology, to provide a method for named entity recognition of user request data, using Stanford natural language processing tools, through the method of combining part-of-speech tagging, entity extraction, and dependency analysis to solve the problem between users and During the interaction process of smart devices, the accuracy of named entity recognition of requested data is not high, so as to improve the recognition rate of user intent

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