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.

Date of Patent:
Aug. 29, 2023

Filed:

Jun. 09, 2021
Applicant:

Nec Laboratories Europe Gmbh, Heidelberg, DE;

Inventors:

Bhushan Kotnis, Heidelberg, DE;

Kiril Gashteovski, Heidelberg, DE;

Carolin Lawrence, Heidelberg, DE;

Assignee:

NEC CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/58 (2020.01); G06F 40/295 (2020.01); G06N 3/08 (2023.01); G06F 40/49 (2020.01); G06F 40/284 (2020.01);
U.S. Cl.
CPC ...
G06F 40/58 (2020.01); G06F 40/284 (2020.01); G06F 40/295 (2020.01); G06F 40/49 (2020.01); G06N 3/08 (2013.01);
Abstract

A method is provided for extracting machine readable data structures from unstructured, low-resource language input text. The method includes obtaining a corpus of high-resource language data structures, filtering the corpus of high-resource language data structures to obtain a filtered corpus of high-resource language data structures, obtaining entity types for each entity of each filtered high-resource language data structure, performing type substitution for each obtained entity by replacing each entity with an entity of the same type to generate type substituted data structures, and replacing each entity with an equivalent a corresponding low-resource language data structure entity to generate code switched sentences. The method further includes generating an augmented data structure corpus, training a multi-head self-attention transformer model, and providing the unstructured low-resource language input text to the trained model to extract the machine readable data structures.


Find Patent Forward Citations

Kotnis, Bhushan. (2023). Open information extraction from low resource languages (U.S. Patent No. 11741318). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11741318

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Loading…