Oracle Financial Services Software Limited

Shivam Agrahari

Veresh Jain

Dakshayani Singaraju

Tables including cells can be extracted from an input document image, as objects and processed to be output in an XML format. The tables can be filtered based on one or more keywords, to reduce a number of the tables. The filtered tables that include the one or more keywords can be obtained. A query can be executed on the filtered tables, the query including one or more keys composed based on cell level information associated with the filtered tables. One or more cells among the cells can be identified based on the one or more keys. As a response to the query, the target content that corresponds to the one or more cells can be provided.

Searchable table extraction

Method includes generating a base model by training a pretrained model using a base training dataset including first training datapoints identifying tables in historical document images that include the tables and text, where the generated base model is configured to extract the tables as objects; and generating a table extraction model by training the base model using an enhanced training dataset including second training datapoints that are different from the first training datapoints and identify a plurality of cells disposed in each of the tables in a row direction and a column direction. The table extraction model is trained to output content of the tables and table information in an XML format, the table information including cell level information of the plurality of cells that is searchable via a query configured to provide target content that corresponds to one or more cells.

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Bansi, India

Shivam Agrahari