Systems and methods for structured phrase embedding and use thereof
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United States of America Patent
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Jul 9, 2024
Grant Date -
Jul 14, 2022
app pub date -
Jan 8, 2021
filing date -
Jan 8, 2021
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Abstract
A system and method for training and using a text embedding model may include creating structured phrases from an input text; creating turn input samples from the input text, each turn input sample based on only or consisting of input from a single turn within the text and being formed by removing structure from structured phrases; and training an embedding model using the structured phrases and turn input samples. Call input samples may be created based on input from more than one turn within the text. At each level of resolution (e.g. phrase, speaker, call), a different level of resolution may be used to create input samples. At inference an embedding may be based on a weighted combination of the sub-terms within an input phrase, each weight being based on an inverse document frequency measure for the sub-term associated with the weight.
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