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. 03, 2022
Filed:
Jul. 02, 2020
Applicant:
International Business Machines Corporation, Armonk, NY (US);
Inventors:
Lingfei Wu, Elmsford, NY (US);
Chen Wang, Chappaqua, NY (US);
Assignee:
International Business Machines Corporation, Armonk, NY (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/58 (2020.01); G06F 40/47 (2020.01); G06F 16/901 (2019.01); G06N 3/08 (2006.01); G06F 16/332 (2019.01); G06F 40/20 (2020.01); G06N 3/04 (2006.01); G06N 3/02 (2006.01);
U.S. Cl.
CPC ...
G06F 40/58 (2020.01); G06F 16/3329 (2019.01); G06F 16/9024 (2019.01); G06F 40/20 (2020.01); G06F 40/47 (2020.01); G06N 3/02 (2013.01); G06N 3/04 (2013.01); G06N 3/088 (2013.01);
Abstract
Technology for using a bi-directed graph convolutional neural network ('BGCNN') to convert RDF data into natural language text. Some embodiments perform RDF-to-Text generation by learning graph-augmented structural neural encoders, consisting of: (a) bidirected graph-based meta-paths encoder; (b) bidirected graph convolutional networks encoder, and (c) separated attention mechanism for combining encoders and decoder to translate RDF triplets to natural language description.