GENERATION OF QUERY TEMPLATES FOR KNOWLEDGE-GRAPH BASED QUESTION ANSWERING SYSTEM

    公开(公告)号:US20230177363A1

    公开(公告)日:2023-06-08

    申请号:US17457445

    申请日:2021-12-03

    CPC classification number: G06N5/04 G06N5/02 G06F40/295

    Abstract: A processor obtains a pair including a question and an answer in natural language; determines at least one entity in the question and an entity type of each of the at least one entity consistent with the schema of a knowledge graph (KG); identifies a subset of candidate query templates based on the entity type of each of the at least one entity, wherein the candidate query templates are generated based on the schema of the KG; composes a set of queries by populating the at least one entity into each of the subset of candidate query templates; executes the set of queries on the KG to generate respective answers; identifies a first answer from the respective answers that is matching with the answer in the pair; and determines a candidate query template, from the subset of candidate query templates, corresponding to the first answer as a query template.

    GENERATING THREE-DIMENSIONAL VIRTUAL SCENE

    公开(公告)号:US20230071026A1

    公开(公告)日:2023-03-09

    申请号:US17988927

    申请日:2022-11-17

    Abstract: A method and system for generating a three-dimensional (3D) virtual scene are disclosed. The method includes: identifying a two-dimensional (2D) object in a 2D picture and the position of the 2D object in the 2D picture; obtaining the three-dimensional model of the 3D object corresponding to the 2D object; calculating the corresponding position of the 3D object corresponding to the 2D object in the horizontal plane of the 3D scene according to the position of the 2D object in the picture; and simulating the falling of the model of the 3D object onto the 3D scene from a predetermined height above the 3D scene, wherein the position of the landing point the model of the 3D object in the horizontal plane is the corresponding position of the 3D object in the horizontal plane of the 3D scene.

    Normalization of medical terms with multi-lingual resources

    公开(公告)号:US11308289B2

    公开(公告)日:2022-04-19

    申请号:US16569874

    申请日:2019-09-13

    Abstract: Method and apparatus are presented for receiving a medical or medical condition related input term or phrase in a source language, and translating the term or phrase from the source language into at least one target language to obtain a set of translated terms of the input term. For each translated term in the set of translations, the method and apparatus further translate the set of translations back into the source language to obtain an output list of standard versions of the input term, scoring each entry of the output list as to probability of being the most standard version of the input term, and providing the entry of the output list that has the highest score to a user.

    Power socket module and plug
    5.
    发明授权

    公开(公告)号:US11056822B2

    公开(公告)日:2021-07-06

    申请号:US16519805

    申请日:2019-07-23

    Abstract: A method and apparatus for providing power includes a power socket module having a first conducting layer and a second conducting layer. An insulating layer may be positioned in between the first and second conducting layers. A plug includes a first prong having a first length and second prong having a second length, where the first length is longer than the second length. When the plug is plugged into the power socket module, the first prong electrically couples to the second conducting layer, and the second prong electrically couples to the first conducting layer.

    Conversational Problem Determination based on Bipartite Graph

    公开(公告)号:US20190188067A1

    公开(公告)日:2019-06-20

    申请号:US15844434

    申请日:2017-12-15

    CPC classification number: G06F11/079 G06F11/0709 G06F11/0751 G06F11/0775

    Abstract: A cognitive conversation system that generates effective diagnostic questions is provided. The cognitive conversation system receives a set of currently known symptoms (or currently available answers to diagnostic questions) of a reported problem or fault. The system identifies (i) a set of possible root causes of the reported problem based on the currently known symptoms and (ii) probabilities for the set of possible root causes by using a bipartite graph data structure that links possible symptoms with possible root causes. Upon determining that at least one possible root cause has a probability that is higher than a threshold, the system presents an explanation or solution associated with the at least one possible root cause. Upon determining that none of the possible root causes in the set of possible root causes has a probability higher than the threshold, the system presents a question based on information entropy that is computed based on probabilities of the identified possible root causes.

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