Encoder with double decoder machine learning models
AssigneeIntuit Inc.
InventorsAlexander Zhicharevich, Noa Haas, Oren Sar Shalom
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Abstract
Operating an encoder with double decoder machine learning models include executing, on a transcript, an encoder machine learning model to generate an encoder output, and executing a situation decoder machine learning model on the encoder output to obtain a situation model output having a situation identifier, and executing a trouble decoder machine learning model using the encoder output to obtain a trouble identifier. The method further includes outputting the situation identifier and the trouble identifier.
Claims20
A method comprising:
- executing, on a transcript, an encoder machine learning model to generate an encoder output;
- executing a situation decoder machine learning model on the encoder output to obtain a situation model output having a situation identifier;
- executing a trouble decoder machine learning model using the encoder output to obtain a trouble identifier;
- and
- outputting the situation identifier and the trouble identifier.
A system comprising:
- a data repository storing a transcript;
- and
- a computer processor configured to execute instructions to perform operations, the operations comprising:
- executing, on a transcript, an encoder machine learning model to generate an encoder output,
- executing a situation decoder machine learning model on the encoder output to obtain a situation model output having a situation identifier,
- executing a trouble decoder machine learning model using the encoder output to obtain a trouble identifier, and
- outputting the situation identifier and the trouble identifier.
A non-transitory computer readable medium comprising computer readable program code for causing a computer system to perform operations, the operations comprising:
- executing, on a transcript, an encoder machine learning model to generate an encoder output;
- executing a situation decoder machine learning model on the encoder output to obtain a situation model output having a situation identifier;
- executing a trouble decoder machine learning model using the encoder output to obtain a trouble identifier;
- and
- outputting the situation identifier and the trouble identifier.
Dependencies are inferred from the claim text.