NLP methods for automatic candidate’s CV segmentation

Abstract

The problem of CV (or resume) segmentation and automatic extraction becomes increasingly relevant nowadays as long as it could simplify candidate selection process. The paper proposes a new method of automatic CV segmentation and parsing. The described algorithm is based on Natural Language Processing and Machine Learning methods. The proposed procedure allows to extract information related to the candidates’ work experience and education from their CVs which come in pdf or docx format. In particular, CV segmentation into 3 blocks (Basic Information, Education and Work Experience) is performed.