The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 20, 2025
Filed:
May. 13, 2022
S&p Global Inc., New York, NY (US);
Baojia Tong, Cambridge, MA (US);
Delphine Vendryes, Venice, CA (US);
Nabeel El-Husayni, Boston, MA (US);
Andrey Ryazanov, Boston, MA (US);
Vadym Barda, Boston, MA (US);
Hamima Halim, Boston, MA (US);
Maxim Sokolov, Watertown, MA (US);
Jilin Wang, Cambridge, MA (US);
Chester Curme, Braintree, MA (US);
S&P Global Inc., New York, NY (US);
Abstract
Training and using a machine learning model for data extraction is provided. The method comprises receiving keys of interest received from a user through an interface and receiving a batch of documents containing unstructured text. Unstructured text of a first document is processed to extract structured text. The model predicts text classifications of the structured text according to the keys of interest. The predicted text classifications are output to the user through the interface. Annotations to correct any incorrect predictions are received from the user, and the model is retrained according to the annotations. The above steps are repeated for less than ten additional documents from the batch until the model has been trained to predict text classifications with a specified level of accuracy. The trained model then classifies extracted structured text in the remaining documents in the batch.