Method and system for identifying geographical name entities

Abstract

The invention provides a method for identifying geographical name entities. The method comprises the steps that address texts are input and pre-processing is conducted on the address texts; address segmentation is conducted on the address texts according to dictionary metadata; address labeling is conducted on segmentation results, and an optimal address level labeling sequence is obtained; according to the context, the labeling sequence is revised, and an optimal labeling result is output. According to the dictionary metadata, the address segmentation is conducted on the address texts, then corresponding geographical name categories are labeled on the segmentation result according to a geographical name category definition table, the labeling sequence is optimized through a Viterbi algorithm, the labeling sequence is revised according to the context, and the final labeling result is obtained. Therefore, the geographical name entity identification result is accurate, and practicability is high. In addition, the invention provides a system for identifying the geographical name entities.

Description

technical field [0001] The present invention relates to the field of geographic information, in particular to a method and system for entity recognition of place names. Background technique [0002] With the development of geographic information system GIS, remote sensing system RS, and global satellite positioning system GPS, especially the wide application of mobile Internet LBS, applications based on geographic information have increasingly become a part of people's lives. Geographical information-based applications, especially communication addresses, are an important part of geographical name entity recognition. At present, many natural language processing platforms that involve named entity recognition do not have a high enough recognition rate for geographical name entities. This is mainly reflected in: first, The place name entity category has a single attribute, only place names are used to identify all place names, and the level of place names (province level, pre...

AI Technical Summary

Problems solved by technology

Geographical information-based applications, especially communication addresses, are an important part of geographical name entity recognition. At present, many natural language processing platforms that involve named entity recognition do not have a high enough recognition rate for geographical name entities. This is mainly reflected in: first, The place name entity category has a single attribute, only place names are used to identify all place names, and the level of place names (province level, prefecture level, county level, township level, community / village committee, road, village, building, etc.) is not further divided ; Second, the recognition rate for place names at the township level and below the township level is low; third, it cannot handle the situation that different place names have the same abbreviation, such as Jilin, which can be Jilin City or Jilin Province; Poor recognition of different descriptions of a name (place-name aliases)

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