Methods for unsupervised prediction of performance drop due to domain shift

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United States of America Patent

PATENT NO 11907663
APP PUB NO 20210342544A1
SERIAL NO

17240216

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A system includes: a natural language processing (NLP) model trained in a training domain and configured to perform natural language processing on an input dataset; an accuracy module configured to: calculate a domain shift metric based on the input dataset; and calculate a predicted decrease in accuracy of the NLP model attributable to domain shift relative to the training domain based on the domain shift metric; and a retraining module configured to selectively trigger a retraining of the NLP model based on the predicted decrease in accuracy of the NLP model.

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Patent Owner(s)

Patent OwnerAddress
NAVER FRANCE6 CHEMIN DE MAUPERTUIS MEYLAN 38240

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Elsahar, Hady Grenoble, FR 8 7
Galle, Matthias Eybens, FR 11 129

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