Recognition of the Agricultural Named Entities With Multifeature Fusion Based on ALBERT

Recognition of the Agricultural Named Entities With Multifeature Fusion Based on ALBERT

High quality agricultural named entity recognition (NER) model can provide effective support for agricultural information extraction, semantic retrieval and other tasks. However, the existing models ignore the potential characteristics of Chinese characters, resulting in the lack of internal semanti...

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Bibliographic Details
Main Authors: Pengfei Zhao, Wei Wang, Hai Liu, Mo Han
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Agriculture
named entity recognition
self-attention
long short-term memory
conditional random field
Online Access:https://ieeexplore.ieee.org/document/9889696/

Internet

https://ieeexplore.ieee.org/document/9889696/

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