A method for identifying Chinese place names in typhoon events based on lattice-BiLSTM-CRF

Danjie Chen; Ning Li

doi:10.1117/12.3010288

15 November 2023 A method for identifying Chinese place names in typhoon events based on lattice-BiLSTM-CRF

Danjie Chen, Ning Li

Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128151U (2023) https://doi.org/10.1117/12.3010288
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China

Abstract

The types of Chinese place names in typhoon events are diverse and the place names are long, which increases the difficulty of place name recognition. At the same time, how to use two different granularity semantic units of Chinese characters and words to assist neural network models to recognize place names is also a problem. In order to improve the accuracy of Chinese place name recognition in typhoon events, a dictionary of place names in typhoon events was constructed. The dictionary of place names and HowNet dictionary are combined for learning features of place names in typhoon events. Based on the Lattice-BiLSTM-CRF model, the two granular semantics of Chinese are integrated to realize the recognition of Chinese place names. It is verified by an experiment that this method can improve the accuracy of Chinese place name recognition in typhoon events.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Danjie Chen and Ning Li "A method for identifying Chinese place names in typhoon events based on lattice-BiLSTM-CRF", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128151U (15 November 2023); https://doi.org/10.1117/12.3010288

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