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:
Apr. 20, 2021

Filed:

Jan. 11, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Patrick D. Watson, Ossining, NY (US);

Maria D. Chang, Irvington, NY (US);

Jae-Wook Ahn, Nanuet, NY (US);

Sharad Sundararajan, Yorktown Heights, NY (US);

Tengfei Ma, White Plains, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06F 16/93 (2019.01); G06F 40/205 (2020.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/93 (2019.01); G06F 40/205 (2020.01); G06N 3/0445 (2013.01); G06N 3/08 (2013.01);
Abstract

Method and apparatus for generating natural language observations using sequence-to-sequence models are provided. The method includes receiving a first electronic document and dynamically generating, without requiring user intervention, a first natural language observation corresponding to a first portion of the first electronic document by processing the first portion of the first electronic document using a first sequence-to-sequence model. A second natural language observation is received for the first portion of the first electronic document, and the generated first natural language observation and the authoritative natural language observation are provided. The method further includes receiving an evaluation of the first natural language observation and the second natural language observation, and refining the first sequence-to-sequence model based on the evaluation of the first natural language observation and second natural language observation.


Find Patent Forward Citations

Loading…