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:
Aug. 03, 2021
Filed:
May. 15, 2018
Applicant:
Sap SE, Walldorf, DE;
Inventors:
Jayananda Appanna Kotri, Bangalore, IN;
Abinaya S, Tirupur, IN;
Yashwanth Dasari, Vijayawada, IN;
Sharad Kejriwal, Bhagalpur, IN;
Tarun Sharma, Bangalore, IN;
Assignee:
SAP SE, Walldorf, DE;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06F 9/451 (2018.01); G06F 40/30 (2020.01); G06F 40/205 (2020.01); G06F 40/253 (2020.01); G06F 40/284 (2020.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 9/451 (2018.02); G06F 40/205 (2020.01); G06F 40/253 (2020.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01);
Abstract
In an example embodiment, factual question generation from freeform content is achieved through semantic role labeling and recurrent neural networks (RNNs). Specifically, semantic role labeling is used to identify an answer phrase so that it can be replaced with an appropriate question word. RNNs are then used to extract triples (Subject-Object-Predicate) from the sentence, and each of these triples can be used as an answer phrase/word. An RNN is then fed with training data to generate the questions more efficiently.