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Incorporating Domain Knowledge into Language Transformers for Multi-Label Classification of Chinese Medical Questions
Po Han Chen, Yu Xiang Zeng, Lung Hao Lee
電機工程學系
研究成果
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引文 斯高帕斯(Scopus)
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深入研究「Incorporating Domain Knowledge into Language Transformers for Multi-Label Classification of Chinese Medical Questions」主題。共同形成了獨特的指紋。
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Keyphrases
Medical Questions
100%
Speech Transformer
100%
Multi-label Classification
100%
Knowledge Infusion
66%
Encyclopedia
33%
Knowledge Acquisition
33%
Disease Treatment
33%
Question Answering
33%
Publicly Available Dataset
33%
Language Model
33%
Evaluation Metrics
33%
Knowledge Resources
33%
Downstream Task
33%
Transformer-2
33%
Baidu
33%
RoBERTa
33%
Disease Information
33%
Weakly Supervised Data
33%
Computer Science
Domain Knowledge
100%
Experimental Result
50%
Evaluation Metric
50%
Knowledge Acquisition
50%
Knowledge Resource
50%
Language Modeling
50%
Answer Question
50%
Bidirectional Encoder Representations From Transformers
50%
Predefined Class
50%
Performance Compare
50%
Social Sciences
Chinese
100%
Diseases
50%
Bidirectional Encoder Representations From Transformers
50%
Language Modeling
50%
Learning
50%