Automatic extraction of usable information from unstructured resumes to aid search

This paper describes a system for automated resume information extraction to support rapid resume search and management. The system is capable of extracting several important informative fields from a free format resume using a set of natural language processing (NLP) techniques. We describe a working system, for automatic resume management. The system is capable of extracting six major fields of information as defined by HR-XML. Experimental results carried out on a large number of resumes show that the proposed system can handle a large variety of resumes in different document formats with a precision of 91% and a recall of 88%.