Condition random field based telecom field named entity recognition method

Abstract

The invention discloses a condition random field based telecom field named entity recognition method. The condition random field based telecom field named entity recognition method includes the steps:converting corpus into an input format of a condition random field CRF model, and using a word based marking model to mark the corpus; selecting the size of a context window and selecting features from a candidate feature set to construct a feature template; defining the feature template of the condition random field CRF model, inputting the acquired corpus and the acquired feature model into thecondition random field CRF model, and acquiring a telecom field named entity recognition CRF model, using the telecom field named entity recognition CRF model to perform telecom field named entity recognition on a telecom text to be recognized, and acquiring an output shaft; and restoring the recognized telecom field named entity from the acquired output result. The method can extract the telecomfield named entity through an automatic method, can improve the efficiency of telecom field named entity recognition to a certain extent, and can ensure the good accuracy and the good recall rate ofthe telecom field named entity recognition result.

Description

technical field [0001] The invention relates to a named entity recognition method in the telecommunications field based on a conditional random field, which belongs to the technical field of computers. Background technique [0002] With the rapid development of the telecommunications industry, the traditional manual service model has been difficult to meet the actual needs, so people began to pay attention to related technologies such as the construction of knowledge bases in the telecommunications field and the construction of question-and-answer systems in the telecommunications field, hoping to use automated systems instead of manual labor to meet the growing demand. business needs. Most of the telecommunications domain knowledge comes from telecommunications related documents. In the face of massive data, it is obviously unrealistic to rely entirely on manual means to extract valuable information from it, so people began to hope to extract information through automated ...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, provide a named entity recognition method in the field of telecommunications based on conditional random fields, and solve the excessive dependence of the existing methods on rule templates, especially the inability to The problem of effective named entity recognition in

Images