Method and system for recognizing feature lexical item in Chinese naming entity

Abstract

The present invention provides a characteristic lexical item recognizing method for a Chinese named entity, and the method includes: executing a segmentation operation on the named entity to be recognized, then getting a candidate named entity; executing an initial operation on the candidate named entity, and getting a first result; establishing a dictionary basing on the candidate named entity and the first result, and establishing a word situation dictionary basing on the first result; the dictionary and the word situation dictionary are jointly called as a dictionary database; referring to the dictionary database, executing a compounding processing on the first result time after time; after one time of the compounding processing, expanding the dictionary database basing on the processing result; the extended dictionary database is used as the dictionary to be referenced on the next compounding processing; acquiring the recognized characteristic lexical item basing on the results after a plurality of times of compounding processing. The present invention also provides a characteristic lexical item recognizing system for the Chinese named entity. Dispensing with the context, the present invention can realize recognizing and understanding on the characteristic lexical item of the Chinese named entity, and can improve the accuracy rate of the natural language understanding and the information searching.

Description

technical field [0001] The invention relates to word recognition in the fields of Chinese information processing and information retrieval, in particular to a method for recognizing characteristic words in named entities and a corresponding system. Background technique [0002] Natural language processing is an important problem in the field of computer science and artificial intelligence. It studies various theories and methods that can realize effective communication between humans and computers using natural language. With the widespread application of computers and the Internet, the number of natural language texts that can be processed by computers has increased unprecedentedly, and the demand for text mining, information extraction, cross-language information processing, and human-computer interaction for massive information has grown rapidly. From small-scale constrained language processing to large-scale real text processing, its research will have a profound impact...

AI Technical Summary

Problems solved by technology

However, in the prior art, there is a lack of related methods for automatically identifying feature terms from Chinese named entities using computers

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