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...

Full description

Saved in:
Bibliographic Details
Main Authors Chadha, Ankit, Liu, Johnson, Soumet, Jean-Marc, Pentyala, Shiva Kumar, Harinath, Shashank, Bhagavath, Shilpa
Format Patent
LanguageEnglish
Published 04.08.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Online AccessGet full text

Cover

More Information
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.
Bibliography:Application Number: US202117162318