Machine learning auto completion of fields

Systems and methods for using a mathematical model based on historical natural language inputs to automatically complete form fields are disclosed. An incident report may be defined with a set of required parameter fields such as category, priority, assignment, and classification. Incident report submission forms may also have other free text input fields providing information about a problem in the natural vocabulary of the person reporting the problem. Automatic completion of these so-called parameter fields may be based on analysis of the natural language inputs and use of machine learning techniques to determine appropriate values for the parameter fields. The machine learning techniques may include parsing the natural language input to determine a mathematical representation and application of the mathematical representation to "match" historically similar input. Once matched the parameter values from the historically similar input may be used instead of generic default values. AUTOMATIC COMPLETION OF FIELDS BASED ON ANALYSIS RECEIVE USER DESCRIPTION IN NATURAL - 405 PARSE NATURAL LANGUAGE TO IDENTIFY [-410 N_GRAMS PROCESS AGAINST APPROPRIATE MODEL U 420 USE VALUE OVERRIDE AS PROVIDED 420 DETERMINE VALUE AND CONFIDENCE LEVEL (CL) PROVIDE FEEDBACK OF OVERRIDE TO MODEL INFORMATION CL > THRESHOLD? DEFAULT 435-X YES 440 YES 445 AUTOMATICALLY COMPLETE FIELD WITH USER OVERRIDE? DETERMINED DETERMINED VALUE VALUE