摘要
由于深度学习的相关研究不断深入,深度学习平台TensorFlow在命名实体识别中的应用也得到了广泛的应用,并且推动了人名识别研究的发展进程。利用传统方法识别人名可能识别效率较低,需要不断研究并找出新统计模式、新规则。然而使用深度学习框架可以很大程度上减少一些复杂的统计过程、采集规则过程。
Due to the further research on deep learning,the application of deep learning platform TensorFlow in named entity recognition has also been widely applied,and has promoted the development process of person name recognition research.It is necessary to study and find new statistical models and new rules by using traditional methods to recognize the possibility of recognition of human names.However,the use of a deep learning framework can greatly reduce some of the complicated statistical processes and the process of collecting rules.
出处
《数字技术与应用》
2017年第12期215-216,共2页
Digital Technology & Application
