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:
Oct. 17, 2023

Filed:

Sep. 18, 2020
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Pamela Bhattacharya, Redmond, WA (US);

Barun Patra, Redmond, WA (US);

Chala Fekadu Fufa, Redmond, WA (US);

Charles Yin-Che Lee, Bellevue, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/295 (2020.01); G06F 40/284 (2020.01); G06F 40/117 (2020.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06F 40/295 (2020.01); G06F 40/117 (2020.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01);
Abstract

The disclosure relates to systems and methods for identifying entities related to a task in a natural language input. An entity detection model is provided which receives a natural language input. The entity detection model processes the natural language input using an entity encoder and an input encoder. The entity encoder identifies and encodes relevant entities while the input encoder generates a contextual encoding which represents contextual information associated with a relevant entity. The encoded entity and contextual encodings may then be combined and processed to generate a probability score for an identified entity. A negation constraint model is also disclosed. The negation constraint model receives the natural language input and the identified entities. The natural language input is analyzed to identify negation cues and determine if the negation cue is associated with an identified entity.


Find Patent Forward Citations

Bhattacharya, Pamela. (2023). Systems and methods for identifying entities and constraints in natural language input (U.S. Patent No. 11790172). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11790172

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

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