![]() ![]() The resume parser’s ability to properly identify the context of resume terms significantly improves the accuracy of output data compared to conventional ‘key-word’-based and statistical parsers. As a grammar-based resume parser ALEX assigns meaning to terms (words and sentences) based upon the context in which they appear. ALEX is a grammar-based parser using proprietary semantic parsing algorithms to understand and properly tag meaningful data in even the most unconventional and complicated resumes. As a results, resume parsing eliminates the need for manual data entry and allows applicants and companies to easily create and save meaningful data that will significantly improve candidate to job match and search results.ĪLEX (Automated Linguistic EXpert), HireAbility’s CV / Resume parser and Job Order parser employs several AI strategies including natural language processing techniques and pattern recognition in order to parse relevant information from resumes written in a free-text format. Resume or CV parsing is the process of converting a resume, CV or social media profile into a data structure or a set of XML or JSON tags.
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