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Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach
April 23, 2024, 4:42 a.m. | Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong
cs.LG updates on arXiv.org arxiv.org
Abstract: 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. Compared to the traditional rule-based approaches, the utilization of recently proposed pre-trained document understanding models can greatly enhance the effectiveness of resume understanding. The present approaches have, however, disregarded the hierarchical relations within the structured information presented in resumes, and have difficulty parsing resumes in …
abstract arxiv cs.ai cs.cl cs.lg document documents document understanding extract fundamental information modal multi-modal pre-training recruitment resume training type understanding
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