Research on named entity recognition of Chinese geographical names and addresses

ZhongYue Wang

doi:10.1117/12.2660791

2 February 2023 Research on named entity recognition of Chinese geographical names and addresses

ZhongYue Wang

Author Affiliations +

Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 1246214 (2023) https://doi.org/10.1117/12.2660791
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China

Abstract

With the rapid development of artificial intelligence and big data, informatization has become an irresistible trend of the times, so how to acquire and process geographic information has become one of the most important strategic resources. Named entity recognition is also the task of sequence labeling. Aiming at the problem of accurate identification of place names and addresses in geographic information, this paper proposes a method to first classify and segment place names and addresses, and then label them through a bidirectional cyclic long-short-term neural network and a conditional random field model. It solves the problem of classification and recognition of place names and addresses, and realizes the accurate identification of Chinese place names. The research results based on word segmentation and labeling and recognition through deep learning neural network model show that not only accurate word segmentation can be completed, but also place-name addresses can be accurately identified. The research results can be applied to the semantic measurement of placename addresses and the placename address labeling database. construction has great practical significance.

Citation Download Citation

ZhongYue Wang "Research on named entity recognition of Chinese geographical names and addresses", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 1246214 (2 February 2023); https://doi.org/10.1117/12.2660791

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