A study on the application of named entity recognition in resume parsing
Haifeng Liang · Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022) · 2023
In recent years, with the development of machine learning as well as deep learning, named entity recognition has also been rapidly developed. Currently, with the huge saturation of the talent market, resulting in a dramatic increase in the number of resumes, it has become more difficult to screen resumes, and company personnel have taken on a huge burden of screening work. The application of named entity recognition on resume parsing can greatly shorten the time of resume screening and apply more time to the screening of target talents. Based on the problems faced by named entity recognition in resume parsing, this paper proposes traditional machine learning models HMM, CRF and deep learning model BiLSTM+CRF to solve them. After a series of experiments, the effectiveness of the proposed method is proved.