Multilingual, end-to-end-aspect based sentiment analysis with opinion triplets predictions

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United States of America Patent

PATENT NO 12019988
APP PUB NO 20220245343A1
SERIAL NO

17550655

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Abstract

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A computer-implemented method for training a neural end-to-end aspect based sentiment analysis (ABSA) system includes: inputting a batch of samples of a dataset into the neural end-to-end ABSA system, where the neural end-to-end ABSA system includes: a contextual language encoder configured to embed tokens with context; a first self-attention network configured to, based on an output of the contextual language encoder, detect an aspect term and provide a first output corresponding to the aspect term; and a second self-attention network configured to, based on the output of the contextual language encoder, detect the aspect term and provide a second output corresponding to the aspect term; and based on the inputted batch of samples and a consistency loss function, selectively adjusting weights of the neural end-to-end ABSA system based on consistent aspect term detection by the first self-attention network and the second self-attention network.

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Patent Owner(s)

Patent OwnerAddress
NAVER CORPORATION95 JEONGJAIL-RO BUNDANG-GU SEONGNAM-SI GYEONGGI-DO 13561 13561

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Aït-Mokhtar, Salah Montbonnot-Saint-Martin, FR 5 138
Brun, Caroline Grenoble, FR 36 2261
Castagne, Roman Mallemort, FR 1 1

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