关键词: 自然语言处理, 命名实体识别, 深度学习

Abstract:

Named entity recognition is an important basic task in information extraction, machine translation, question answering system and other natural language processing technologies. In recent years, named entity recognition based on deep learning has become a hot topic for researchers. In order to analyze the progress and future development trend of named entity recognition based on deep learning, this paper gives an overview of the current methods of named entity recognition including the methods based on convolutional neural network, cyclic neural network, transformer model and some other methods, and studies and compares the four methods in detail. This paper also introduces the application fields of named entity recognition and the data sets and evaluation methods involved. Finally, the future research directions are prospected.

Key words: natural language processing, named entity recognition, deep learning