An end-to-end framework for information extraction from Italian resumes

作者：

Highlights：

• Recruitment process can be improved by techniques extracting information from resumes.

• An end-to-end framework has been designed for information extraction from resume.

• Relevant information is extracted through a NER task on semantically consistent parts.

• Our framework has been evaluated on a real resume dataset, showing promising results.

摘要

•Recruitment process can be improved by techniques extracting information from resumes.•An end-to-end framework has been designed for information extraction from resume.•Relevant information is extracted through a NER task on semantically consistent parts.•Our framework has been evaluated on a real resume dataset, showing promising results.

论文关键词：Information extraction,Neural network,Job-person fitting

论文评审过程：Received 29 October 2021, Revised 29 July 2022, Accepted 7 August 2022, Available online 12 August 2022, Version of Record 17 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118487