Oracle International Corporation

Shaoke Xu

Mark Edward Johnson

Thanh Long Duong

Shashi Prasad Suravarapu

Xu Zhong

Yakupitiyage Don Thanuja Samodhye Dharmasiri

Budhaditya Saha

Ahmed Ataallah Ataallah Abobakr

Hongtao Yang

Techniques for extracting key information from a document using machine-learning models in a chatbot system is disclosed herein. In one particular aspect, a method is provided that includes receiving a set of data, which includes key fields, within a document at a data processing system that includes a table detection module, a key information extraction module, and a table extraction module. Text information and corresponding location data are extracted via optical character recognition. The table detection module detects whether one or more tables are present in the document and, if applicable, a location of each of the tables. The key information extraction module extracts text from the key fields. The table extraction module extracts each of the tables based on input from the optical character recognition and the table detection module. Extraction results include the text from the key fields and each of the tables can be output.

Extracting key information from document using trained machine-learning models

Growing community of inventors

Sunnyvale, CA, United States of America

Shaoke Xu