Design of intelligent system for table information extraction from unstructured texts

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The paper is addressed to actual problems of development of tools for automation information extraction from random tables with a complex arrangement in unstructured texts. These tables do not include a formal data model (e.g. relational data model), but they have different structure identifiers, (e.g. graphical formatting, layout, or markup)..

Information extraction from tables, document analysis and recognition, information search, unstructured information processing, analysis and processing of table information, document analysis systems

Короткий адрес: https://sciup.org/148182028

IDR: 148182028

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