A method and device for text information extraction based on semantic model

Abstract

The present application discloses a method and device for extracting text information based on a semantic model. The method includes obtaining text information to be extracted; performing information extraction on the text information to be extracted according to the extraction expression and the semantic model corresponding to the extraction expression to obtain target information , the extraction expression includes a part-of-speech extraction expression, a time extraction expression and / or a rule extraction expression, wherein the semantic model corresponding to the part-of-speech extraction expression is a statistical semantic model, and the semantic model corresponding to a time extraction expression is a temporal semantic concept model , the semantic model corresponding to the rule extraction expression is the rule semantic model. This application can set corresponding extraction expressions and semantic models according to different extraction requirements, and perform information extraction on the text information to be extracted. The staff does not need to write complicated regular expressions one by one, which reduces the difficulty of generation and improves the flexibility of matching. , therefore, this method can not only improve the extraction efficiency, but also reduce the workload of the staff.

Description

technical field [0001] The present application relates to the technical field of text processing, in particular to a semantic model-based text information extraction method and device. Background technique [0002] With the explosive growth of Internet information, the contents of various documents are becoming more and more colorful. Since the information people need is hidden in various styles of content, it is increasingly difficult to find it. Therefore, people need to use information extraction methods to find the required information in relevant texts. [0003] At present, the information extraction method is mainly based on the HTML structure extraction method, which uses the HTML parser to scan the characters in the HTML text information one by one, analyzes the structural hierarchical relationship of the HTML text information, and numbers the same HTML tags sequentially from zero, and finally A DOM tree corresponding to the HTML text information is formed, and then...

AI Technical Summary

Problems solved by technology

[0005] This application provides a semantic model-based text information extraction method and device to solve the problem of extracting some complex text sentences or extracting specific words, such as words with specific parts of speech and time words, etc. Including one or more complex regular expressions not only leads to difficult generation and low matching flexibility, resulting in low extraction efficiency, but also increases the workload of staff

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