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
Lab
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.
AI classification
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.