Information Extraction From Free-Form CV Documents in Multiple Languages

This paper proposes two natural language processing models for extracting useful information from multilingual, unstructured (free form) CV documents. The model identifies the relevant document sections (personal information, education, employment, etc.) and the corresponding specific information at...

Full description

Bibliographic Details
Main Authors: Davor Vukadin, Adrian Satja Kurdija, Goran Delac, Marin Silic
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9449663/