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公开(公告)号：US20220084510A1
公开(公告)日：2022-03-17
申请号：US17021892
申请日：2020-09-15
Applicant: Microsoft Technology Licensing, LLC
Inventor： Baolin Peng , Chenguang Zhu , Chunyuan Li , Xiujun Li , Jinchao Li , Nanshan Zeng , Jianfeng Gao
Abstract: This document relates to machine learning. One example includes a method or technique that can be performed on a computing device. The method or technique can include obtaining a task-adapted generative model that has been tuned using one or more task-specific seed examples. The method or technique can also include inputting dialog acts into the task-adapted generative model and obtaining synthetic utterances that are output by the task-adapted generative model. The method or technique can also include populating a synthetic training corpus with synthetic training examples that include the synthetic utterances. The synthetic training corpus may be suitable for training a natural language understanding model.
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公开(公告)号：US20230076095A1
公开(公告)日：2023-03-09
申请号：US17963766
申请日：2022-10-11
Applicant: Microsoft Technology Licensing, LLC
Inventor： Baolin Peng , Chenguang Zhu , Chunyuan Li , Xiujun Li , Jinchao Li , Nanshan Zeng , Jianfeng Gao
Abstract: This document relates to machine learning. One example includes a method or technique that can be performed on a computing device. The method or technique can include obtaining a task-adapted generative model that has been tuned using one or more task-specific seed examples. The method or technique can also include inputting dialog acts into the task-adapted generative model and obtaining synthetic utterances that are output by the task-adapted generative model. The method or technique can also include populating a synthetic training corpus with synthetic training examples that include the synthetic utterances. The synthetic training corpus may be suitable for training a natural language understanding model.
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公开(公告)号：US11508360B2
公开(公告)日：2022-11-22
申请号：US17021892
申请日：2020-09-15
Applicant: Microsoft Technology Licensing, LLC
Inventor： Baolin Peng , Chenguang Zhu , Chunyuan Li , Xiujun Li , Jinchao Li , Nanshan Zeng , Jianfeng Gao
Abstract: This document relates to machine learning. One example includes a method or technique that can be performed on a computing device. The method or technique can include obtaining a task-adapted generative model that has been tuned using one or more task-specific seed examples. The method or technique can also include inputting dialog acts into the task-adapted generative model and obtaining synthetic utterances that are output by the task-adapted generative model. The method or technique can also include populating a synthetic training corpus with synthetic training examples that include the synthetic utterances. The synthetic training corpus may be suitable for training a natural language understanding model.
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公开(公告)号：US11875787B2
公开(公告)日：2024-01-16
申请号：US17963766
申请日：2022-10-11
Applicant: Microsoft Technology Licensing, LLC
Inventor： Baolin Peng , Chenguang Zhu , Chunyuan Li , Xiujun Li , Jinchao Li , Nanshan Zeng , Jianfeng Gao
CPC classification number: G10L15/18 , G10L15/083 , G10L15/22
Abstract: This document relates to machine learning. One example includes a method or technique that can be performed on a computing device. The method or technique can include obtaining a task-semantically-conditioned generative model that has been pretrained based at least on a first training data set having unlabeled training examples and semantically conditioned based at least on a second training data set having dialog act-labeled utterances. The method or technique can also include inputting dialog acts into the semantically-conditioned generative model and obtaining synthetic utterances that are output by the semantically-conditioned generative model. The method or technique can also include outputting the synthetic utterances.
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