Enhancing Chinese Address Parsing in Low-Resource Scenarios through In-Context Learning

Enhancing Chinese Address Parsing in Low-Resource Scenarios through In-Context Learning

Address parsing is a crucial task in natural language processing, particularly for Chinese addresses. The complex structure and semantic features of Chinese addresses present challenges due to their inherent ambiguity. Additionally, different task scenarios require varying levels of granularity in a...

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Bibliographic Details
Main Authors: Guangming Ling, Xiaofeng Mu, Chao Wang, Aiping Xu
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Chinese address parsing
low-resource scenarios
In-Context Learning
GPT
BERT
K-Nearest Neighbor
Online Access:https://www.mdpi.com/2220-9964/12/7/296

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https://www.mdpi.com/2220-9964/12/7/296

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