Crime address extraction method, electronic equipment and computer readable storage medium

Abstract

The invention provides a crime address extraction method, electronic equipment and a computer readable storage medium, and the method comprises the steps: inputting a crime text into a pre-trained model, and outputting the crime text represented by a character category identifier of each character; according to the category of each character in the case text, determining the position of the case address in the case text; according to the position, extracting a case address from the case text; wherein the electronic equipment comprises a storage module, the storage module comprises an instruction loaded and executed by a processor, and when the instruction is executed, the processor executes the crime address extraction method. The computer readable storage medium stores one or more programs, and when the one or more programs are executed by the processor, the crime address extraction method is realized. Based on the full-automatic active learning model, the accurate crime address can be automatically and intelligently extracted from the crime text, so that the extracted crime address data is subjected to structured storage.

Description

technical field [0001] The invention belongs to the technical field of information extraction, and in particular relates to a method for extracting a crime address, electronic equipment and a computer-readable storage medium. Background technique [0002] In daily police work, the police case is closely related to public life. A large amount of information is contained in the case record, which records the time / place / criminal transaction information. This kind of data is huge, but there are no good tools or systems that can mine, extract, and then store the information in a structured manner. We can only rely on manual summarization, screening, and recording, and finally digitally store the information on paper and pen. This method has obvious defects, is slow, relies on manual labor, and requires manual review to ensure accuracy. In addition, human subjective factors may lead to the extraction of content in text information, and there will be consistency problems. Tradit...

AI Technical Summary

Problems solved by technology

This kind of data is huge, but there are no good tools or systems that can mine, extract, and then store the information in a structured manner. We can only rely on manual summarization, screening, and recording, and finally digitally store the information on paper and pen.

This method has obvious defects, is slow, relies on manual labor, and requires manual review to ensure accuracy

In addition, human subjective factors may lead to the extraction of content in text information, and there will be consistency problems

Traditional automated office tools can play a very good auxiliary role and can promote the production efficiency of the entire process, but they still rely on manual operations, and it is difficult to achieve fully automated intelligent extraction and intelligent structuring

Images