Automated extraction of information from Polish resume documents in the IT recruitment process

Abstract

The problem of automated information retrieval and semantic analysis becomes more and more popular due to the difficulty of searching and analyzing large text datasets. Also, the recruitment process implies searching vast amounts of usually unstructured text files and makes human analysis challenging or even impossible to perform.This research presents a hybrid approach to automated information retrieval for the recruitment process in the IT industry. The proposed model implements a multi-module system in terms of low resource language dictionaries and complex linguistic dependencies in Polish.The experimental results confirmed our proposed solution. The keyword recognition for different resume sections was 60%-160% higher than for separate common tools.