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公开(公告)号:US20240257469A1
公开(公告)日:2024-08-01
申请号:US18161256
申请日:2023-01-30
Applicant: International Business Machines Corporation
Inventor: June-Ray Lin , Ye Chuan Wang , Li Na Wang , Nan Chen , Ju Ling Liu
CPC classification number: G06T19/00 , G06F3/013 , G06T13/40 , G06T2219/004
Abstract: Embodiments of the invention are directed to a computer system that includes a processor electronically coupled to a memory. The processor is operable to perform processor operations that includes accessing hypertext virtual markup language encoded (HTVML-encoded) text. The HTVML-encoded text is displayed in an immersive video frame of a display of a virtual reality (VR) environment. HTVML content associated with the HTVML-encoded text is also displayed in the 360-degree video frame. The HTVML content include a three-dimensional (3D), immersive presentation format.
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公开(公告)号:US20220335090A1
公开(公告)日:2022-10-20
申请号:US17230475
申请日:2021-04-14
Applicant: International Business Machines Corporation
Inventor: June-Ray Lin , Nan Chen , Ju Ling Liu , Li Na Wang , Shun Xian Wu
IPC: G06F16/93 , G06F16/9032 , G06F16/9035 , G06F16/9038 , G06N3/08 , G06K9/62
Abstract: A computer-implemented method, system and computer program product for identifying equivalent technical terms. A deep learning model is trained to identify equivalent technical terms. The deep learning model is then applied to a new document. The sentences of the document are analyzed to identify technical terms. Text is then analyzed surrounding the technical term identified in the document to determine the meaning of such text. A glossary list is then reviewed to determine if the identified meaning of the analyzed text matches a meaning/concept in the glossary list linked to a technical term. In response to determining that the meaning of the analyzed text matches a meaning/concept in the glossary list linked to an equivalent technical term, the technical term in the document is annotated with the equivalent technical term. In this manner, non-standard equivalent technical terms in different documents with the same meaning/concept are able to be identified.
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公开(公告)号:US20210124804A1
公开(公告)日:2021-04-29
申请号:US16666459
申请日:2019-10-29
Applicant: International Business Machines Corporation
Inventor: Li Bo Zhang , Jin Zhang , Nan Chen , Ju Ling Liu , Xin Peng Liu
IPC: G06F17/28 , G06F17/22 , G06F16/901 , G06F17/24
Abstract: Methods, systems, computer program products for Program Integrated Information (PII) translation management of an application are provided. The method, according to an embodiment of the present invention, PII translation corresponding to the application of a base version is determined as PII translation of a base version by one or more processing units, and then differences between PII translation corresponding to the application of a subsequent version and PII translation of the base version is determined as PII translation of a subsequent version. Then, in a data structure, it is recorded with PII translation of the base version as a starting node of the data structure and PII translation of the subsequent version as a subsequent node of the starting node, wherein nodes in the data structure are correlated to and accessible to the application of corresponding versions.
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公开(公告)号:US20190163872A1
公开(公告)日:2019-05-30
申请号:US15825221
申请日:2017-11-29
Applicant: International Business Machines Corporation
Inventor: Anita Govindjee , Su Liu , Cheng Xu , Ju Ling Liu
Abstract: A method, system, and computer program product for determining and improving treatment points includes: configuring one or more treatment templates, the one or more treatment templates including service criteria and treatment points; receiving a treatment request from a computing device, the treatment request including an identification of a problem area of a user of the computing device; selecting a first treatment template from the one or more treatment templates based on the treatment request, the first treatment template including treatment points; transmitting the treatment points from the treatment template to the computing device; collecting patient treatment responses from the computing device; analyzing the treatment responses using natural language processing, image analysis, and learning modules; identifying adjusted treatment points based on the analysis; generating a second treatment template using the patient treatment responses and the adjusted treatment points.
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