With the rapid development of the Internet and information technology,a large amount of text data is generated and stored on the Internet,which contains rich information.However,most text data is semi-structured,meaning that the organizational structure of the data is incomplete or irregular,making it unsuitable for direct analysis and processing.Therefore,semi-structured text information extraction has become an important research field,and this article studies the extraction of semi-structured text information based on hidden Markov models.
semi-structured textinformation extractionhidden markov model
NETL
NSTL
万方数据
