HIERARCHICAL NATURAL LANGUAGE UNDERSTANDING SYSTEMS
Methods and systems for hierarchical natural language understanding are described. A representation of an utterance is inputted to a first machine learning model to obtain information on the first utterance. According to the information on the utterance a determination that the representation of the...
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Main Authors | , , , , , |
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Format | Patent |
Language | English |
Published |
04.08.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Methods and systems for hierarchical natural language understanding are described. A representation of an utterance is inputted to a first machine learning model to obtain information on the first utterance. According to the information on the utterance a determination that the representation of the utterance is to be inputted to a second machine learning model that performs a dedicated natural language task is performed. In response to determining that the representation of the utterance is to be inputted to a second machine learning model, the utterance is inputted to the second machine learning model to obtain an output of the dedicated natural language task. |
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Bibliography: | Application Number: US202117162318 |