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Title:
SYSTEM AND METHOD FOR SIMULTANEOUSLY IDENTIFYING INTENT AND SLOTS IN VOICE ASSISTANT COMMANDS
Document Type and Number:
WIPO Patent Application WO/2023/140508
Kind Code:
A1
Abstract:
In an embodiment of the present disclosure, a method of simultaneously identifying intent and slots in a voice assistant command includes tokenizing, into a plurality of tokens, a current utterance of a user of a device comprising the voice assistant command, prepending the plurality of tokens with a previous utterance and a separation token, obtaining, using a transformer-based machine learning model, one or more predictions for the voice assistant command from the prepended plurality of tokens, aligning, according to one or more constraints, the at least one of the flag prediction, the goal prediction, and the sub-goal prediction, providing, to the device, the identified intent and the identified slots based on the intent prediction and the aligned at least one of the flag prediction, the goal prediction, and the sub-goal prediction, causing the device to perform the voice assistant command according to the identified intent and the identified slots.

Inventors:
KANUNGO TAPAS (US)
BENGRE NEHAL A (US)
ZHU QINGXIAOYANG (US)
LOZHNEVSKY YURII (US)
WALSH STEPHEN MICHAEL (US)
SIAKOV DMITRII (US)
Application Number:
PCT/KR2022/020143
Publication Date:
July 27, 2023
Filing Date:
December 12, 2022
Export Citation:
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Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
G10L15/22; G06F40/284; G06N20/00; G10L15/18
Domestic Patent References:
WO2018212941A12018-11-22
Foreign References:
US20200279002A12020-09-03
US20210110822A12021-04-15
US20180012597A12018-01-11
Other References:
ARSHIT GUPTA; JOHN HEWITT; KATRIN KIRCHHOFF: "Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 19 March 2019 (2019-03-19), 201 Olin Library Cornell University Ithaca, NY 14853 , XP081443357
Attorney, Agent or Firm:
KIM, Tae-hun et al. (KR)
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