Adp, Inc.

Praison Selvaraj

Harshvardhan Prasad

Anuradha Verma

Arjun Hegde

Hongguo An

Sanjay Kutty

Nikhil Choudhari

Atul Bochare

Manoj Kumar Jha

Abhishek Jain

Srinivas Goda

Michael Pionski

Rajat Gupta

Aspects of the present invention provide devices that process payroll tax notices by extracting payroll tax notice attributes and named entities from text of a payroll tax notice document using natural language processing, named entity recognition, and the labels of entities identified by way of machine comprehension. The devices generate a structured payroll tax notice summary based on the extracted payroll tax notice attributes and user context that identify a receiving taxed entity, a tax jurisdiction, and a taxing agency.

Method to efficiently categorize, extract and setup of payroll tax notices

Training an artificial intelligence system to process agency notices. The process identifies historical data that includes historical text generated from optical character recognition performed on historical images of the agency notices and historical metadata for items in the historical images of the agency notices. The process generates annotations for the historical text. The annotations identify the items in the historical text and locations of the items in the historical text. The process trains the artificial intelligence system using the historical data and the annotations.

Agency notice processing system

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Hyderabad Telangana, India

Praison Selvaraj