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    SYSTEM AND METHOD FOR LEARNING NEW CONCEPTS FROM INPUT UTTERANCES
    31.
    发明申请
    SYSTEM AND METHOD FOR LEARNING NEW CONCEPTS FROM INPUT UTTERANCES 有权

    公开(公告)号：US20220005464A1

    公开(公告)日：2022-01-06

    申请号：US17075353

    申请日：2020-10-20

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Yilin Shen ,  Hongxia Jin

    IPC: G10L15/14 ,  G10L15/22 ,  G10L15/18 ,  G06N7/00 ,  G06K9/62

    Abstract: A method includes applying, by at least one processor, a natural language understanding (NLU) model to an input utterance in order to obtain initial slot probability distributions. The method also includes performing, by the at least one processor, a confidence calibration by applying a calibration probability distribution to the initial slot probability distributions in order to generate calibrated slot probability distributions. The calibration probability distribution has a higher number of dimensions than the initial slot probability distributions. The method further includes identifying, by the at least one processor, uncertainties associated with words in the input utterance based on the calibrated slot probability distributions. In addition, the method includes identifying, by the at least one processor, a new concept contained in the input utterance that is not recognized by the NLU model based on the identified uncertainties.

    TECHNIQUES FOR LEARNING EFFECTIVE MUSICAL FEATURES FOR GENERATIVE AND RETRIEVAL-BASED APPLICATIONS
    34.
    发明申请
    TECHNIQUES FOR LEARNING EFFECTIVE MUSICAL FEATURES FOR GENERATIVE AND RETRIEVAL-BASED APPLICATIONS 有权

    公开(公告)号：US20210049989A1

    公开(公告)日：2021-02-18

    申请号：US16704600

    申请日：2019-12-05

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Peter M. Bretan ,  Larry P. Heck ,  Hongxia Jin

    IPC: G10H1/00 ,  G06N3/04 ,  G06K9/62 ,  G06F16/638

    Abstract: A method includes receiving a non-linguistic input associated with an input musical content. The method also includes, using a model that embeds multiple musical features describing different musical content and relationships between the different musical content in a latent space, identifying one or more embeddings based on the input musical content. The method further includes at least one of: (i) identifying stored musical content based on the one or more identified embeddings or (ii) generating derived musical content based on the one or more identified embeddings. In addition, the method includes presenting at least one of: the stored musical content or the derived musical content. The model is generated by training a machine learning system having one or more first neural network components and one or more second neural network components such that embeddings of the musical features in the latent space have a predefined distribution.

    SYSTEM AND METHOD FOR EXPLAINING AND COMPRESSING DEEP LEARNING NATURAL LANGUAGE UNDERSTANDING (NLU) MODELS
    35.
    发明申请
    SYSTEM AND METHOD FOR EXPLAINING AND COMPRESSING DEEP LEARNING NATURAL LANGUAGE UNDERSTANDING (NLU) MODELS 有权

    公开(公告)号：US20210027020A1

    公开(公告)日：2021-01-28

    申请号：US16947258

    申请日：2020-07-24

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Yilin Shen ,  Hongxia Jin

    IPC: G06F40/30 ,  G06F40/279 ,  G06N3/08

    Abstract: A method includes obtaining, using at least one processor of an electronic device, a base natural language understanding (NLU) model that includes a word embedding layer, where the word embedding layer is associated with at least one training utterance. The method also includes calculating, using the at least one processor, a regularization loss value for use in a determination of an intent detection loss, where the regularization loss value reveals an effect of word embeddings on intent determination of the training utterance. The method further includes retraining, using the at least one processor, the word embedding layer of the base NLU model using the intent detection loss to obtain a retrained NLU model.

    Multi-models that understand natural language phrases
    36.
    发明授权
    Multi-models that understand natural language phrases 有权

    公开(公告)号：US10902211B2

    公开(公告)日：2021-01-26

    申请号：US16390241

    申请日：2019-04-22

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Yu Wang ,  Yilin Shen ,  Hongxia Jin

    IPC: G06F40/30 ,  G10L19/00 ,  G10L15/18

    Abstract: A system determines intent values based on an object in a received phrase, and detail values based on the object in the received phrase. The system determines intent state values based on the intent values and the detail values, and detail state values and an intent detail value based on the intent values and the detail values. The system determines other intent values based on the intent values and another object in the received phrase, and other detail values based on the detail values and the other object in the received phrase. The system determines a general intent value based on the other intent values, the other detail values, and the intent state values, and another intent detail value based on the other intent values, the other detail values, and the detail state values.

    METHOD AND SYSTEM FOR LEARNING AND ENABLING COMMANDS VIA USER DEMONSTRATION
    37.
    发明申请
    METHOD AND SYSTEM FOR LEARNING AND ENABLING COMMANDS VIA USER DEMONSTRATION 审中-公开

    公开(公告)号：US20200311210A1

    公开(公告)日：2020-10-01

    申请号：US16370411

    申请日：2019-03-29

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Sandeep Nama ,  Hongxia Jin

    IPC: G06F17/27 ,  G10L15/18 ,  G06F3/16

    Abstract: A method for learning a task includes capturing first information associated with at least one application executed by an electronic device. A sequence of user interface interactions for the at least one application is recorded. Second information are extracted from the sequence of user interface interactions. Events, action or a combination thereof are filtered from the second information using the first information. Recognition is performed on each element from the first information to generate a semantic ontology. An executable sequential event task bytecode is generated from each element of the semantic ontology and the filtered second information.

    Computing system with privacy control mechanism and method of operation thereof
    39.
    发明授权
    Computing system with privacy control mechanism and method of operation thereof 有权

    公开(公告)号：US10089491B2

    公开(公告)日：2018-10-02

    申请号：US14967229

    申请日：2015-12-11

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Deguang Kong ,  Hongxia Jin

    IPC: G06F21/62 ,  H04L29/08 ,  H04L29/06 ,  G06F21/55

    Abstract: A computing system includes: a control circuit configured to: determine a privacy baseline for controlling communication for a user, determine an application-specific privacy setting for controlling communication for a first executable program associated with the user, generate a user-specific privacy profile based on the privacy baseline and the application-specific privacy setting, the user-specific privacy profile for controlling an application set including a second executable program; and a storage circuit, coupled to the control circuit, configured to store the user-specific privacy profile.

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