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- W2290155881 abstract "With the rapid expansion of biomedical literatures, it provides an opportunity for mining biomedical knowledge from the huge amount of biomedical text. Entity recognition is a challenging task of biomedical text mining. In this work, we described a method to identify biomedical entity based on Conditional Random Fields(CRF). In the test dataset, the performance of the submitted method obtained the relatively satisfied performance . At the same time, we also develop a system with identified six class entities using different color representation Taken together, our method is promising for developing the technology of biomedical entity recognition." @default.
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- W2290155881 date "2016-01-01" @default.
- W2290155881 modified "2023-09-23" @default.
- W2290155881 title "Mining Biomedical Entity from Literature Based on CRF" @default.
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- W2290155881 doi "https://doi.org/10.2991/nceece-15.2016.255" @default.
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