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In the contemporary era of widespread online recruitment, resume understanding has been widely acknowledged as a fundamental and crucial task, which aims to extract structured information from resume documents automatically.
“An overview and classification of adaptive approaches to information extraction,”
Christian Siefkes and Peter Siniakov, · 2005
Earlier work this paper cites.
“Automatic extraction of usable information from unstructured resumes to aid search,”
Sunil Kumar Kopparapu, · 2010
Earlier work this paper cites.
“Online resume parsing system using text analytics,”
Divyanshu Chandola, Aditya Garg, Ankit Maurya, and Amit Kushwaha, · 2015
Earlier work this paper cites.
“Fast r-cnn,”
Ross Girshick, · 2015
Earlier work this paper cites.
“Information extraction from resume documents in pdf format,”
Jiaze Chen, Liangcai Gao, and Zhi Tang, · 2016
Earlier work this paper cites.
“Chinese resume information extraction based on semi-structured text,”
Yan Wentan and Qiao Yupeng, · 2017
Earlier work this paper cites.
“Enhancing person-job fit for talent recruitment: An ability-aware neural network approach,”
Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, and Hui Xiong, · 2018
Earlier work this paper cites.
“Representation learning with contrastive predictive coding,”
Aaron van den Oord, Yazhe Li, and Oriol Vinyals, · 2018
Cited alongside, same era.
“The artificial intelligence recruitment process: How technological advancements have reshaped job application and selection practices,”
Harriet Rodney, Katarina Valaskova, and Pavol Durana, · 2019
Cited alongside, same era.
“Layoutlm: Pre-training of text and layout for document image understanding,”
Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, and Ming Zhou, · 2020
Cited alongside, same era.
“Docformer: End-to-end transformer for document understanding,”
Srikar Appalaraju, Bhavan Jasani, Bhargava Urala Kota, Yusheng Xie, and R Manmatha, · 2021
Cited alongside, same era.
“Layoutxlm: Multimodal pre-training for multilingual visually-rich document understanding,”
Yiheng Xu, Tengchao Lv, Lei Cui, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, and Furu Wei, · 2021
“Lilt: A simple yet effective language-independent layout transformer for structured document understanding,”
Jiapeng Wang, Lianwen Jin, and Kai Ding, · 2022
Later among the works it cites.
“Layoutlmv3: Pre-training for document ai with unified text and image masking,”
Yupan Huang, Tengchao Lv, Lei Cui, Yutong Lu, and Furu Wei, · 2022
Later among the works it cites.
“2023 HR Statistics: Job Search, Hiring, Recruiting and Interviews,” https://zety.com/blog/hr-statistics, 2023,
Bart Turczynski, · 2023
Later among the works it cites.
“Ezinterviewer: To improve job interview performance with mock interview generator,”
Mingzhe Li, Xiuying Chen, Weiheng Liao, Yang Song, Tao Zhang, Dongyan Zhao, and Rui Yan, · 2023
Later among the works it cites.
“Empirical study of zero-shot ner with chatgpt,”
Tingyu Xie, Qi Li, Jian Zhang, Yan Zhang, Zuozhu Liu, and Hongwei Wang, · 2023
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Cited alongside, same era.
“Do transformers really perform badly for graph representation?,”
Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, and Tie-Yan Liu, · 2021
Cited alongside, same era.
“A method for resume information extraction using bert-bilstm-crf,”
XiaoWei Li, Hui Shu, Yi Zhai, and ZhiQiang Lin, · 2021
Cited alongside, same era.
Later among the works it cites.
“Large language models for generative information extraction: A survey,”
Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, and Enhong Chen, · 2023
Later among the works it cites.
“Enhancing question answering for enterprise knowledge bases using large language models,”
Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, and Hui Xiong, · 2024
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