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    SYSTEM AND METHOD FOR A SCENE BUILDER
    11.
    发明申请
    SYSTEM AND METHOD FOR A SCENE BUILDER 审中-公开

    公开(公告)号：US20200081981A1

    公开(公告)日：2020-03-12

    申请号：US16566459

    申请日：2019-09-10

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Allan J. Schwade ,  Anil Yadav ,  Melvin Lobo

    IPC: G06F17/27 ,  G06N20/00

    Abstract: A system and method for creating organized intent clusters or scenes using machine learning algorithms is provided. A method of creating organized intent clusters or scenes comprises extracting intent features related to the plurality of request inputs. The method also includes creating a plurality of groups comprising the extracted intent features. The method includes identifying a cluster based on co-occurring extracted intent features, the co-occurring extracted intent features belonging to a plurality of domains. The method further includes generating a proto-scene based in part by ranking the extracted intent features within the cluster.

    MULTI-LAYERED MACHINE LEARNING SYSTEM TO SUPPORT ENSEMBLE LEARNING
    12.
    发明申请
    MULTI-LAYERED MACHINE LEARNING SYSTEM TO SUPPORT ENSEMBLE LEARNING 审中-公开

    公开(公告)号：US20200042903A1

    公开(公告)日：2020-02-06

    申请号：US16217362

    申请日：2018-12-12

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Mohammad M. Moazzami ,  Anil Yadav

    IPC: G06N20/20

    Abstract: A method includes providing input data to a plurality of base models to generate a plurality of intermediate outputs. The base models are non-linear in that different base models are specialized differently such that the different base models are complementary to one another. Each of the base models is generated using a different base classification algorithm in a multi-layered machine learning system. The method also includes processing the intermediate outputs using a fusion model to generate a final output associated with the input data. The fusion model is generated using a meta classification algorithm in the multi-layered machine learning system. The method may also include training the classification algorithms, where training data used by each of at least one of the base classification algorithms is selected based on an uncertainty associated with at least one other of the base classification algorithms.

    SYSTEM AND METHOD SUPPORTING CONTEXT-SPECIFIC LANGUAGE MODEL
    13.
    发明申请
    SYSTEM AND METHOD SUPPORTING CONTEXT-SPECIFIC LANGUAGE MODEL 审中-公开

    公开(公告)号：US20200035230A1

    公开(公告)日：2020-01-30

    申请号：US16261430

    申请日：2019-01-29

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Anil Yadav ,  Mohammad Moazzami ,  Allan Jay Schwade

    IPC: G10L15/19 ,  G06F17/27 ,  G10L15/18

    Abstract: A method, an electronic device, and computer readable medium is provided. The method includes identifying a frequency of each word that is present within a set of words. The method also includes deriving relatedness values for pairs of words. Each pair of words includes a first word and a second word in the set of words. Each relatedness value corresponds to a respective one of the pairs of words. Each relatedness value is based on the identified frequencies that the first word and the second word of the respective pair of words are present within the set of words. The method further includes generating a matrix representing the relatedness values. The method additionally includes generating a language model that represents relationships between the set of words included in the matrix.

    System and method supporting context-specific language model
    15.
    发明授权
    System and method supporting context-specific language model 有权

    公开(公告)号：US11545144B2

    公开(公告)日：2023-01-03

    申请号：US16261430

    申请日：2019-01-29

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Anil Yadav ,  Mohammad Moazzami ,  Allan Jay Schwade

    IPC: G10L15/19 ,  G10L15/18 ,  G06F40/247

    Abstract: A method, an electronic device, and computer readable medium is provided. The method includes identifying a frequency of each word that is present within a set of words. The method also includes deriving relatedness values for pairs of words. Each pair of words includes a first word and a second word in the set of words. Each relatedness value corresponds to a respective one of the pairs of words. Each relatedness value is based on the identified frequencies that the first word and the second word of the respective pair of words are present within the set of words. The method further includes generating a matrix representing the relatedness values. The method additionally includes generating a language model that represents relationships between the set of words included in the matrix.

    System and method for dynamic cluster personalization
    16.
    发明授权
    System and method for dynamic cluster personalization 有权

    公开(公告)号：US11232783B2

    公开(公告)日：2022-01-25

    申请号：US16566538

    申请日：2019-09-10

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Anil Yadav ,  Chutian Wang ,  Melvin Lobo

    IPC: G10L15/00 ,  G10L15/08 ,  G06F16/35 ,  G06F16/335 ,  G10L15/26

    Abstract: A system and method for dynamic cluster personalization is provided. A method of dynamic cluster personalization comprises acquiring information from a user, creating a usage log based on the acquired user information including language information and generating user features based on the usage log. The method further comprises determining a clustering feature from the user features, creating a user cluster based on the clustering feature, determining a personalization feature within the user cluster from the user features, generating a personalization for the user cluster based on the personalization feature and applying the personalization to the users in the user cluster.

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