Data-Augmented Hybrid Named Entity Recognition for Disaster Management by Transfer Learning

Data-Augmented Hybrid Named Entity Recognition for Disaster Management by Transfer Learning

This research aims to build a Mandarin named entity recognition (NER) module using transfer learning to facilitate damage information gathering and analysis in disaster management. The hybrid NER approach proposed in this research includes three modules: (1) data augmentation, which constructs a con...

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Bibliographic Details
Main Authors: Hung-Kai Kung, Chun-Mo Hsieh, Cheng-Yu Ho, Yun-Cheng Tsai, Hao-Yung Chan, Meng-Han Tsai
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
damage information gathering
disaster management
data augmentation
transfer learning
named entity recognition
chatbot
Online Access:https://www.mdpi.com/2076-3417/10/12/4234

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