Accenture Global Solutions Limited

Himani Bhatt

Sawani Bade

Debayan Chakraborty

Shruti Chhabra

Akanksha Juneja

Praneeth Medhatithi Shishtla

Samatha Kottha

Sreerekha T V

Amit Nandi

Soubhagya Ranjan Mohapatra

Ashok Kumar Shivarajan

Kedar Bhat

Karthick Selvamuthukumaran

Srinivasan Ponpathirkoottam Raghavan

A hybrid rule-based Artificial Intelligence (AI) document processing system processes a non-editable document with at least one invoice to accurately extract data from tables in the invoices. The non-editable document is preprocessed for conversion into a markup format and pages including the invoice are identified. The invoice is processed via a document process by parsing the pages in different directions to generate a first set of predictions and via a block process wherein logical information blocks from the invoice are processed to generate a second set of predictions. The missing entries from a selected table are identified by applying rules to the first set of predictions and the second set of predictions. Any discrepancy between the missing entry values between the first and second set of predictions are resolved and the resulting data is exported to downstream systems for further uses.

Document processing using hybrid rule-based artificial intelligence (AI) mechanisms

An Artificial Intelligence (AI) based user intent analyzer system analyzes a received user query to determine an intent of the user query and enables execution of processes on a backend system based on the user intent. The user query is divided into a plurality of portions and the portions with extraneous information are discarded. The remaining portions are parsed with a plurality of parsers. The output from the plurality of parsers is processed for extraction of the entities, entity attributes, verbs, and verb arguments. The entities and verbs are further filtered using knowledge graphs and the remaining entities and verbs are mapped to sub-intents using intent mapping rules retrieved from the knowledge graphs. The sub-intents are mapped to the final intent using process rules associated with the process to be executed by the backend system in response to the user query.

Artificial intelligence (AI) based user query intent analyzer

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Bengaluru, India

Himani Bhatt