Resume Information Extraction

Resume information extraction (RIE) automates the process of extracting structured information, such as skills, experience, and education, from unstructured resume text. Current research focuses on improving accuracy and efficiency using deep learning models, particularly transformer-based architectures like BERT and its variants, often incorporating multimodal information (text, layout) and pre-training on large datasets. These advancements aim to enhance recruitment processes by enabling faster and more accurate candidate screening, ultimately impacting both human resources and labor economics research through improved data analysis and predictive modeling.