首页|Findings from National Institute of Technology Has Provided New Data on Machine Learning (An Effective Undersampling Method for Biomedical Named Entity Recognit ion Using Machine Learning)
Findings from National Institute of Technology Has Provided New Data on Machine Learning (An Effective Undersampling Method for Biomedical Named Entity Recognit ion Using Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Kerala, Indi a, by NewsRx journalists, research stated, “Biomedical-named entityrecognition (Bio-NER) is a key task of biomedical natural language processing, which is perf ormed onbiomedical documents containing professional literature and electronic health records. It involves theidentification and categorisation of the named e ntities that are presented in a text document.”
KeralaIndiaAsiaCyborgsEmerging T echnologiesMachine LearningNamed Entity RecognitionNational Institute of T echnology
NETL
NSTL
