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Semantic text formalization method based on improved functionally-role interpretation


A.V. Pavlenko – Employee, Cherepovets Higher Military Engineering School of Radio Electronics

The huge volumes of text information transmitted in media and electronic text storages call into existence of it automated processing to gain different objectives. The quality of text processing systems depend on informative text representation. Methods based on functionally-role interpretation allow creating more informative text representation than the representation consisting only of keywords, but are very resource-intensive. The main idea of the proposed method is to avoid resource-intensive procedures, such as semantic analysis. The FRI is constructed on the morphological data and POS-tagging results supplemented by heuristic rules set. The proposed formalization method dependency between text message volume and its formalization time is linear instead the exponential dependency in other methods.

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