System and method for natural language processing using neural network with cross-task training

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United States of America Patent

PATENT NO 12086539
APP PUB NO 20210174204A1
SERIAL NO

17093478

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Abstract

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A method for using a neural network model for natural language processing (NLP) includes receiving training data associated with a source domain and a target domain; and generating one or more query batches. Each query batch includes one or more source tasks associated with the source domain and one or more target tasks associated with the target domain. For each query batch, class representations are generated for each class in the source domain and the target domain. A query batch loss for the query batch is generated based on the corresponding class representations. An optimization is performed on the neural network model by adjusting its network parameters based on the query batch loss. The optimized neural network model is used to perform one or more new NLP tasks.

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SALESFORCE INCSALESFORCE TOWER 415 MISSION STREET 3RD FLOOR SAN FRANCISCO CA 94105

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Rajani, Nazneen Mountain View, US 11 90
Socher, Richard Menlo Park, US 88 4606
Xiong, Caiming Menlo Park, US 161 4540
Yin, Wenpeng Palo Alto, US 3 11

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