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    Deep-learning model catalog creation
    1.
    发明授权
    Deep-learning model catalog creation 有权

    公开(公告)号：US11605006B2

    公开(公告)日：2023-03-14

    申请号：US16404141

    申请日：2019-05-06

    申请人： International Business Machines Corporation

    发明人： Shreya Khare ,  Srikanth Govindaraj Tamilselvam ,  Anush Sankaran ,  Naveen Panwar ,  Rahul Rajendra Aralikatte ,  Senthil Kumar Kumarasamy Mani

    IPC分类号： G06N20/00 ,  G06N5/02 ,  G06F8/41 ,  G06F40/205 ,  G06N5/022

    摘要： One embodiment provides a method, including: mining a plurality of deep-learning models from a plurality of input sources; extracting information from each of the deep-learning models, by parsing at least one of (i) code corresponding to the deep-learning model and (ii) text corresponding to the deep-learning model; identifying, for each of the deep-learning models, operators that perform operations within the deep-learning model; producing, for each of the deep-learning models and from (i) the extracted information and (ii) the identified operators, an ontology comprising terms and features of the deep-learning model, wherein the producing comprises populating a pre-defined ontology format with features of each deep-learning model; and generating a deep-learning model catalog comprising the plurality of deep-learning models, wherein the catalog comprises, for each of the deep-learning models, the ontology corresponding to the deep-learning model.

    Question generation for learning session
    8.
    发明授权
    Question generation for learning session 有权

    公开(公告)号：US10810897B2

    公开(公告)日：2020-10-20

    申请号：US15840886

    申请日：2017-12-13

    申请人： International Business Machines Corporation

    发明人： Sampath Dechu ,  Neelamadhav Gantayat ,  Shreya Khare ,  Senthil Kumar Kumarasamy Mani

    IPC分类号： G09B7/00 ,  G06N5/02 ,  G06F40/30

    摘要： One embodiment provides a method, including: receiving input of a learning session that is being conducted by an educator, being provided to at least one user, and being related to a subject; determining, using a knowledge base, that at least one topic relevant to the subject of the learning session is incomplete, wherein the determining comprises building a knowledge subgraph of the learning session and comparing the built knowledge subgraph to at least a portion of the knowledge base; generating at least one question to be asked of the educator relevant to the at least one incomplete topic; identifying, using at least one natural language text classifier model, a location within the learning session to ask the generated at least one question; and providing, to the educator, an output corresponding to the at least one question at the identified location within the learning session.

    Embedding Natural Language Context in Structured Documents Using Document Anatomy
    9.
    发明申请
    Embedding Natural Language Context in Structured Documents Using Document Anatomy 审中-公开

    公开(公告)号：US20200175114A1

    公开(公告)日：2020-06-04

    申请号：US16207983

    申请日：2018-12-03

    申请人： International Business Machines Corporation

    发明人： Sampath Dechu ,  Saravanan Krishnan ,  Neelamadhav Gantayat ,  Senthil Kumar Kumarasamy Mani

    IPC分类号： G06F17/27 ,  G06K9/00 ,  G06F16/36

    摘要： Methods, systems and computer program products for natural language context embedding are provided herein. A computer-implemented method includes extracting a document anatomy and document elements from a given structured document, identifying semantic references in the given structured document, and generating an ontology comprising (i) a hierarchy of concepts and (ii) relations connecting the concepts, each concept comprising attributes for a document element. The computer-implemented method also includes generating natural language text context for a given document element by utilizing the ontology to combine (i) attributes of a given concept corresponding to the given document element with (ii) attributes of another concept, the other concept corresponding to another document element, the other concept being connected to the given concept by at least one relation. The computer-implemented method further includes modifying the given structured document by embedding the natural language context with the given document element in the given structured document.