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Found 3 papers, 1 papers with code
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.
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.
MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild
Detecting small scene text instances in the wild is particularly challenging, where the influence of irregular positions and nonideal lighting often leads to detection errors.
Ranked #1 on
Scene Text Detection
on SCUT-CTW1500
