US 11,704,552 B2
Task detection in communications using domain adaptation
Robert A Sim, Bellevue, WA (US); Ryen W. White, Redmond, WA (US); and Hosein Azarbonyad, Redmond, WA (US)
Assigned to Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on Oct. 29, 2018, as Appl. No. 16/173,987.
Prior Publication US 2020/0134442 A1, Apr. 30, 2020
Int. Cl. G06N 3/08 (2023.01); H04L 51/224 (2022.01)
CPC G06N 3/08 (2013.01) [H04L 51/224 (2022.05)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
a memory;
processing circuitry coupled to the memory to implement operations for task classification on a target sample from a target corpus of target samples including a first lexicon and context, the task classification including:
modifying a representation of a source sentence of a source sample from a source corpus of source samples including a second lexicon and context different from the first lexicon and context to more closely resemble target sentences of the target samples from the target corpus;
operating, using a machine learning model trained using the modified representation of the source sentence, with the target sample as input to the machine learning model to generate a task label, the task label indicating whether the target sample includes a task; and
causing a personal information manager (PIM) to generate a notification reminder, based on the task in the target sample.