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公开(公告)号:US20220343071A1
公开(公告)日:2022-10-27
申请号:US17727734
申请日:2022-04-23
申请人: Calabrio, Inc.
发明人: Kyle Smaagard , Matt Matsui , Boris Chaplin , Paul Gordon , Dylan Morgan , Skyler Grammer , Chris Vanciu
IPC分类号: G06F40/247 , G06F40/289 , G06F16/31
摘要: Disclosed herein are computer-implemented methods for intelligent phrase generation. Example methods include acquiring a bulk data input that includes one or more seed phrases that are requested for derivation, inputting the bulk data input into a model, and returning an arrangement result to a user. The model is configured to determine one or more derivative phrases from each of the seed phrases in the bulk data input, each of the one or more derivative phrases corresponding to a respective seed phrase. The model is configured to determine one or more arrangements with which to arrange each of the derivative phrases in the one or more derivative phrases. The model is configured to determine a characteristic of the respective seed phrase, the one or more arrangement corresponding to the characteristic of the respective seed phrase.
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公开(公告)号:US20220335225A1
公开(公告)日:2022-10-20
申请号:US17724410
申请日:2022-04-19
申请人: Calabrio, Inc.
发明人: Skyler Grammer , Dylan Morgan , Paul Gordon , Chris Vanciu , Kyle Smaagard , Matt Matsui , Boris Chaplin
IPC分类号: G06F40/35 , G06F40/205 , G06F16/332
摘要: Disclosed herein are devices, systems, and computer-implemented methods for intelligent conversational intent detection. Example methods include acquiring a conversational transcript input that is requested for intent detection, inputting the conversational transcript input into a model configured to decipher a conversational intent segment, and returning to a user the conversational intent segment. The conversational transcript input can include one or more conversational transcript segments. The conversational intent segment can correspond to which of the one or more conversational transcript segments is likely to indicate a conversational intent of the conversational transcript input based on the intent detection.
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