机译:TL-ner:中国名称实体识别的转移学习模型
School of Optical-Electrical and Computer Engineer University of Shanghai for Science and Technology Shanghai 200093 China;
School of Optical-Electrical and Computer Engineer University of Shanghai for Science and Technology Shanghai 200093 China;
School of Optical-Electrical and Computer Engineer University of Shanghai for Science and Technology Shanghai 200093 China;
School of Optical-Electrical and Computer Engineer University of Shanghai for Science and Technology Shanghai 200093 China;
Transfer learning; Chinese named entity recognition; Natural language processing; Deep learning;
机译:基于转移学习的中国电子医疗记录名为实体识别算法
机译:基于转移学习的中国电子医疗记录名为实体识别算法
机译:结合语音和自我匹配注意力的深度学习模型,用于中国电子病历的命名实体识别
机译:自我注意机制的中文名实体识别对抗转移学习
机译:半监督的命名实体识别:在很少的监督下学习识别100种实体类型
机译:深度学习用于中国电子病历中的命名实体识别:将深度迁移学习与多任务双向LSTM RNN相结合
机译:关于中国电子病历的命名实体认可的深度学习:将深度转移学习与多任务双向LSTM RNN相结合