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公开(公告)号：US20200302350A1
公开(公告)日：2020-09-24
申请号：US16356643
申请日：2019-03-18
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Teng Sun , Ying Wei , Ting Yao Liu , Yuan Li , Qiang He
Abstract: A method, computer system, and computer program product for NLP-based domain modeling are provided. The embodiment may include receiving, by a processor, a plurality of documents related to business requirements. The embodiment may also include parsing the received documents to extract business concepts based on sentence analysis utilizing an NLP technology. The embodiment may further include generating domain models based on the extracted business concepts. The embodiment may also include clustering the generated domain models into specific domains.
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公开(公告)号：US20230073932A1
公开(公告)日：2023-03-09
申请号：US17468474
申请日：2021-09-07
Applicant: International Business Machines Corporation
Inventor： Zhong Fang Yuan , Tong Liu , Li Juan Gao , Xiang Yu Yang , Qiang He , Yu Pan
IPC: G06F40/279 , G06K9/00 , G06N3/08 , G06N20/10
Abstract: A computer-implemented method, according to one embodiment, includes: receiving an image having characters that correspond to a language, and using a text recognition algorithm to determine a first language believed to correspond to the characters. A first confidence level associated with the first language is also computed, and a determination is made as to whether the first confidence level associated with the first language is outside a predetermined range. In response to determining that the first confidence level associated with the first language is not outside the predetermined range, the first language is output as the given language. The text recognition algorithm is trained using a simple shallow neural network and a generated mixed language corpus. The generated mixed language corpus is formed by: randomly sampling libraries having vocabulary and/or characters therein, and combining the randomly sampled vocabulary and/or characters to form the generated mixed language corpus.
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Patent Agency Ranking
公开(公告)号：US20200287973A1
公开(公告)日：2020-09-10
申请号：US16297283
申请日：2019-03-08
Applicant: International Business Machines Corporation
Inventor： Yin Jun Zhang , Tao Liu , Qiang He
Abstract: An apparatus for a personal call center assistant includes a receiver that receives a query from a call center over a communication channel during a communication session between the call center and a user. A security checker that determines whether text from the query matches an entry in a user profile of the user and an inference engine identifies one or more query responses in response to the security checker determining that the text from the query matches an entry in the user profile. Each query response is assigned a confidence level and each confidence level includes a likelihood that the query response matches information requested in the query. An outputter converts a query response with a highest confidence level to an answer to the query and a responder communicates the answer to the query to the call center in a format compatible with the query.
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公开(公告)号：US10897508B2
公开(公告)日：2021-01-19
申请号：US16297283
申请日：2019-03-08
Applicant: International Business Machines Corporation
Inventor： Yin Jun Zhang , Tao Liu , Qiang He
Abstract: An apparatus for a personal call center assistant includes a receiver that receives a query from a call center over a communication channel during a communication session between the call center and a user. A security checker that determines whether text from the query matches an entry in a user profile of the user and an inference engine identifies one or more query responses in response to the security checker determining that the text from the query matches an entry in the user profile. Each query response is assigned a confidence level and each confidence level includes a likelihood that the query response matches information requested in the query. An outputter converts a query response with a highest confidence level to an answer to the query and a responder communicates the answer to the query to the call center in a format compatible with the query.
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公开(公告)号：US11995400B2
公开(公告)日：2024-05-28
申请号：US17468474
申请日：2021-09-07
Applicant: International Business Machines Corporation
Inventor： Zhong Fang Yuan , Tong Liu , Li Juan Gao , Xiang Yu Yang , Qiang He , Yu Pan
IPC: G06F40/279 , G06N3/08 , G06N20/10 , G06V30/19 , G06V30/41
CPC classification number: G06F40/279 , G06N3/08 , G06N20/10 , G06V30/41 , G06V30/19
Abstract: A computer-implemented method, according to one embodiment, includes: receiving an image having characters that correspond to a language, and using a text recognition algorithm to determine a first language believed to correspond to the characters. A first confidence level associated with the first language is also computed, and a determination is made as to whether the first confidence level associated with the first language is outside a predetermined range. In response to determining that the first confidence level associated with the first language is not outside the predetermined range, the first language is output as the given language. The text recognition algorithm is trained using a simple shallow neural network and a generated mixed language corpus. The generated mixed language corpus is formed by: randomly sampling libraries having vocabulary and/or characters therein, and combining the randomly sampled vocabulary and/or characters to form the generated mixed language corpus.
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公开(公告)号：US20200279489A1
公开(公告)日：2020-09-03
申请号：US16288151
申请日：2019-02-28
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Tao Liu , Hong Bing Zhang , Qiang He , Yan Fen Liu
Abstract: An embodiment of the invention may include a method, computer program product and computer system for vehicle location detection. The method, computer program product and computer system may include a computing device which may receive image data from an imaging device associated with a vehicle and sensor data from a vehicle sensor device associated with the vehicle. The computing device may detect the vehicle has entered a parking scene based on the received image data. The computing device may detect the surroundings of the vehicle using the imaging device. The computing device may determine the vehicle is parking based on the received sensor data. The computing device may identify a parking location of the vehicle based on the received image data, receive image data and detect the surroundings associated with the identified parking location. The computing device may generate a notification to a user associated with the vehicle.
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公开(公告)号：US20230305815A1
公开(公告)日：2023-09-28
申请号：US17700905
申请日：2022-03-22
Applicant: International Business Machines Corporation
IPC: G06F8/30
CPC classification number: G06F8/30
Abstract: Mechanisms are provided to automatically identify a regression scope of a requirements specification for at least one functionality of a software product. A first knowledge graph, having function entities, is generated of the requirements specification specifying functional requirements for a software product and a first vector representation is generated for the function entities. Code entities for existing code for the software product are generated that comprise features associated with portions of the existing code, and a second vector representation is generated for these code entities. Code entities are linked to function entities based on a vector similarity analysis between the first vector representation and the second vector representation. A regression scope knowledge graph output is generated, based on the linked code entities and function entities, that depicts relationships between function entities corresponding to the functional requirements with code entities corresponding to portions of existing code for the software product.
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