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- W4385011645 abstract "Biomedical named entity recognition is Key technology for automatic processing of health medical information. However, it is labor-expensive for get enough labeled data and always facing low-resource situation. We propose a method for biomedical named entity recognition that under low-resource situation. Our work is based on the 8th China Health Information Processing Conference task-1 and ranked third among all the teams. In the final results of the test set, the precision is $$38.07%$$ , the recall is $$51.04%$$ and the F1-score is 43.61." @default.
- W4385011645 created "2023-07-22" @default.
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- W4385011645 date "2023-01-01" @default.
- W4385011645 modified "2023-10-18" @default.
- W4385011645 title "Biomedical Named Entity Recognition Under Low-Resource Situation" @default.
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- W4385011645 doi "https://doi.org/10.1007/978-981-99-4826-0_4" @default.
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