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Medication Mention Detection in Tweets Using ELECTRA Transformers and Decision Trees
This study describes our proposed model design for the SMM4H 2020 Task 1.
Incorporating Domain Knowledge into Language Transformers for Multi-Label Classification of Chinese Medical Questions
Due to the lack of publicly available datasets for multi-label classification of Chinese medical questions, we crawled questions from medical question/answer forums and manually annotated them using eight predefined classes: persons and organizations, symptom, cause, examination, disease, information, ingredient, and treatment.
NCUEE-NLP at MEDIQA 2021: Health Question Summarization Using PEGASUS Transformers
This study describes the model design of the NCUEE-NLP system for the MEDIQA challenge at the BioNLP 2021 workshop.
NCUEE at MEDIQA 2019: Medical Text Inference Using Ensemble BERT-BiLSTM-Attention Model
This study describes the model design of the NCUEE system for the MEDIQA challenge at the ACL-BioNLP 2019 workshop.
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