Named entity recognition is an important foundational tool in application fields such as machine translation and question answering systems,and has always been a research hotspot in the field of natural language processing.Firstly,introduce the definition of named entity recognition,and organize the commonly used implementation tools,datasets,and evaluation criteria in named entity recognition tasks;Then,based on their development history,existing named entity recognition methods are summarized and divided into traditional methods and deep learning methods;Next,summarize the key ideas,advantages,and disadvantages of various methods for named entity recognition,provide the main process of deep learning based named entity methods,and summarize them in the order of the process;Finally,looking forward to the future research directions of named entity recognition,providing ideas for subsequent research.
natural language processingnamed entity recognitionmachine learningdeep learning
万方数据
维普
