机译:中国社交媒体中跨域和半监督的命名实体识别:统一模型
MOE Key Laboratory of Computational Linguistics, Peking University, Beijing, China;
Department of Computer and Information Science, University of Pennsylvania, Philadelphia, USA;
MOE Key Laboratory of Computational Linguistics, Peking University, Beijing, China;
MOE Key Laboratory of Computational Linguistics, Peking University, Beijing, China;
MOE Key Laboratory of Computational Linguistics, Peking University, Beijing, China;
Training; Social network services; Task analysis; Semisupervised learning; Kernel; Speech processing; Predictive models;
机译:通过命名实体识别和主题建模在网络社交媒体中进行事件识别
机译:基于特征选择的阿拉伯语命名实体识别的新方法使用遗传算法
机译:社交媒体中多式联名为实体识别的分层自适应网络
机译:中国社交媒体中跨域和半监督名称实体识别的统一模型
机译:自然语言处理的应用:BLSTM在中文语料库中的命名实体识别
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:用于命名实体识别的F-score驱动最大边缘神经网络 中国社交媒体