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Recurrent Neural Network Approach for Table Field Extraction in Business Documents
2019
2019 International Conference on Document Analysis and Recognition (ICDAR)
Efficiently extracting information from documents issued by their partners is crucial for companies that face huge daily document flows. Particularly, tables contain most valuable information of business documents. However, their contents are challenging to automatically parse as tables from industrial contexts may have complex and ambiguous physical structure. Bypassing their structure recognition, we propose a generic method for end-to-end table field extraction that starts with the sequence
doi:10.1109/icdar.2019.00211
dblp:conf/icdar/SageAEEE19
fatcat:47u4bzvomzdhhhppyga2tbx3n4