Accenture Global Solutions Limited

Anjani Kumari

Swati Tata

Kavita V V Ganeshan

Omar Razi

Guanglei Xiong

Ullas Balan Nambiar

Soujanya Soni

Srinivasan Krishnan Rajagopalan

Sivasubramanian Arumugam Jalajam

Venkatesan Kamalakannan

Harbhajan Singh

Abhishek Singh

Achal Gambhir

Prakhar Gupta

Ranjan Sarmah

Madhur Bhasini Chaini

Thyagarajan Delli

A document processing system processes a document image to identify document image regions including floating images, structured data units, and unstructured floating text. A first masked image is generated by deleting any floating images from the document image and a second masked image is generated by deleting any structured data units from the first masked image. The structured data units and the unstructured floating text are thus identified serially one after another. Textual data is extracted from the structured data units and the unstructured floating text by processing the corresponding document image regions via optical character recognition (OCR). Entities are extracted from the textual data using natural language processing (NLP) techniques.

Entity extraction via document image processing

A system for providing automated and domain specific contextual processing for context based verification may classify a plurality of extracted parameters from a set of digitized training document to assign a document similarity score with respect to a set of reference documents. The system may automatically detect a domain for the set of digitized training documents based on the document similarity score. The system may load a domain based neural model for the detected domain to generate a plurality of pre-defined contextual parameters. The system may receive a set of input documents and perform a contextual processing of the received set of documents based on the pre-defined contextual parameters to obtain an output in form of a plurality of filtered snippets, each bearing a corresponding rank. The context based verification may be performed based on the plurality of filtered snippets and the corresponding rank.

Automated contextual processing of unstructured data

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Jharkhand, India

Anjani Kumari