User search string organization name recognition method based on semantic feature model

Abstract

The invention belongs to the field of the processing of a natural language, and particularly relates to a user search string organization name recognition method based on a semantic feature model. The method comprises a treatment process of a model establishment stage and a recognition stage. The method comprises the steps of establishing a training language database conforming to the distribution of user search strings by utilizing the existing a long text marking language database at the model establishing stage, wherein the semantic database is used for storing the features of traditional participle and part-of-speech tagging and is additionally provided with a context feature in the search string and a cohesive feature correlated semantic environment feature, establishing a condition random field model according to the composite semantic feature, and adopting the random condition field model as an organization name recognition model; calculating the semantic environment feature corresponding to the user search string to obtain a model sequence of the user inquiry string, extracting the model sequence conforming to the organization name, and obtaining an organization name in the user search string. By adopting the method, the accuracy and recall rate for recognizing the organization name in the user search string can be comprehensively improved.

Description

technical field [0001] The invention belongs to the field of natural language processing, and in particular relates to a method for identifying user search string institution names based on a semantic feature model. Background technique [0002] Today's society has become an era of information explosion, and the rapid development of the Internet has enabled China to have more than 600 million Internet users and ZB (ZettaByte)-level data accumulation. The search engine greatly facilitates people's daily life, work, and learning information acquisition needs, and the importance of information screening and sorting is particularly prominent. After the user enters their own questions into the search engine, the search engine will perform a series of preprocessing links such as word segmentation, stop word removal, error correction, and entity recognition on the user search string. In these preprocessing links, each item Both are extremely important and indispensable. The qualit...

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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem of low accuracy when the existing long text organization name recognizer is used for the organization name recognition of th

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