Entity extraction with encoder decoder machine learning model

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United States of America Patent

PATENT NO 11544943
SERIAL NO

17829010

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Abstract

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A method includes executing an encoder machine learning model on multiple token values contained in a document to create an encoder hidden state vector. A decoder machine learning model executing on the encoder hidden state vector generates raw text comprising an entity value and an entity label for each of multiple entities. The method further includes generating a structural representation of the entities directly from the raw text and outputting the structural representation of the entities of the document.

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Patent Owner(s)

  • INTUIT INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Frick, Peter San Francisco, US 2 2
Rimchala, Tharathorn San Francisco, US 15 12

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