RESOLVING TEMPORAL AMBIGUITIES IN NATURAL LANGUAGE INPUTS LEVERAGING SYNTAX TREE PERMUTATIONS

Patent №

US 11,853,694

Granted

2023-12-26

Filed 2022

Owner

MICROSOFT TECHNOLOGY LICENSING, LLC

AI components

5

ml · nlp · speech · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17738312

In non-limiting examples of the present disclosure, systems, methods and devices for resolving temporal ambiguities are presented. A natural language input may be received. A temporal component of the input may be identified. A determination may be made that the temporal component includes a conjunction that separates temporal meeting block alternatives. A temporal ambiguity may be identified in one of the meeting block alternatives. A plurality of syntax tree permutations may be generated for the meeting block alternative where the ambiguity was identified. A machine learning model that has been trained to identify a most relevant permutation for a given natural language input may be applied to each of the plurality of permutations. A temporal meeting block alternative corresponding to the most relevant permutation may be surfaced.

Machine learningNatural languageSpeechKnowledge representationPlanningG06F 40/211G06F 40/216G06F 40/30G06N 20/00G06Q 10/109G06Q 10/1093

AI classification

Natural language1.00
Speech1.00
Machine learning1.00
Planning0.99
Knowledge representation0.96
Evolutionary computation0.24
AI hardware0.00
Vision0.00

Ownership

MICROSOFT TECHNOLOGY LICENSING, LLC

assignment · 598390663

Assignors

BHATTACHARYA, PAMELA, PATRA, BARUN, LEE, CHARLES YIN-CHE

On an employer assignment, the assignors are typically the inventors.

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