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Information Extraction from Business Documents

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GELETKA Martin BANKOVIČ Mikuláš MELUŠ Dávid ŠČAVNICKÁ Šárka ŠTEFÁNIK Michal SOJKA Petr

Rok publikování 2022
Druh Článek ve sborníku
Konference Recent Advances in Slavonic Natural Language Processing (RASLAN 2022)
Fakulta / Pracoviště MU

Fakulta informatiky

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Klíčová slova OCR; Multi-modal learning; Information extraction; Transformers; Structured Documents
Popis Document AI is a relatively new research topic that refers to techniques for automatically reading, understanding, and analyzing business documents. Nowadays, many companies extract data from business documents through manual efforts that are time-consuming and expensive, requiring manual customization or configuration. This paper describes techniques to address these problems, apply them to real-world data, and implement them to an end-to-end solution for automatic information extraction from business documents.
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