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End-to-end CV parsing solution using transformers

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33

min

End-to-end CV parsing solution using transformers

End-to-end CV parsing solution using transformers

End-to-end CV parsing solution using transformers

End-to-end CV parsing solution using transformers

publish date

Jul 19, 2022

duration

33

min

Difficulty

Intermediate

Beginner

Beginner

Beginner

Case details

The Data Science team of InfoJobs (Adevinta Spain) shares a solution designed and developed in-house to identify structured information from CVs, which is one of the top problems that AI is addressing in the job market sector. This solution leverages the efficiency of BERT, a powerful model based on the transformer architecture which achieves great results in Named Entity Recognition (NER) tasks, boosted with a huge training dataset created using a combination of synthetic and human-labelled résumés. [color=#111111][color=#111111][size=2][font=Verdana, Arial, Helvetica, sans-serif][size=2][font=Verdana, Arial, Helvetica, sans-serif][h2][/font][/size][/font][/size][/color][/color][b][color=#111111][size=2][font=Verdana, Arial, Helvetica, sans-serif][color=#111111][size=2][font=Verdana, Arial, Helvetica, sans-serif][url=https://drive.google.com/file/d/1xZG1nxJ84Ipe0ApAjxditb_XC9nqF9AB/view?usp=sharing]Slides[/url][/font][/size][/color][/font][/size][/color][/b][color=#111111][color=#111111][size=2][font=Verdana, Arial, Helvetica, sans-serif][size=2][font=Verdana, Arial, Helvetica, sans-serif][/h2][/font][/size][/font][/size][/color][/color]

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910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.

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910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.