Natural language understanding in governance service automation

Abstract An automatically operating support system for the evaluation of citizens’ claims is reported. Special methods of script and frame hierarchy creation and matching are used for natural language understanding. The system provides tools for teaching and processing within a wide subject area of not well-structured letters of mostly low-educated people. The method operates on a 1000 letters corpus and was proved to be useful to establish a baseline semantic representation of the texts.