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公开(公告)号：US12026610B2
公开(公告)日：2024-07-02
申请号：US16141251
申请日：2018-09-25
发明人： Chun Yang Ma , Zhi Hu Wang , Shiwan Zhao , Li Zhang
CPC分类号： G06N3/08 , G06N20/00 , G05D1/0088
摘要： Methods and systems for reinforcement learning with dynamic agent grouping include gathering information at a first agent using one or more sensors. Shared information is received at the first agent from a second agent. An agent model is trained at the first agent using the gathered information and the shared information. A contribution of the shared information is weighted according to a degree of similarity between the first agent and the second agent. An action is generated using the trained agent model responsive to the gathered information.
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公开(公告)号：US11501187B2
公开(公告)日：2022-11-15
申请号：US16579972
申请日：2019-09-24
发明人： Shiwan Zhao , Meng Ting Hu , HongLei Guo , Zhong Su
摘要： A computer implemented method, computer system and computer program product are provided for aspect-based sentiment analysis. According to the method, at least one sentence and at least one aspect are received by one or more processing units. At least one opinion snippet of the at least one sentence is determined based on the at least one sentence and the at least one aspect, through a trained aspect-sentence fusion model, by one or more processing units. A sentiment prediction of the at least one opinion snippet is calculated by one or more processing units for the at least one aspect.
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公开(公告)号：US20220180200A1
公开(公告)日：2022-06-09
申请号：US17115953
申请日：2020-12-09
发明人： Yi Qin Yu , Chao Xue , Shiwan Zhao
摘要： Aspects of the invention include methods and systems that include obtaining a source domain dataset. The source domain dataset includes corresponding labels, and the source domain dataset and the corresponding labels are associated with training a source domain machine learning model. A method includes obtaining a target domain dataset without corresponding labels and a feature vector that identifies features in the source domain dataset and the target domain dataset. The method also includes obtaining a set of loss terms from known machine learning models that implement a domain adversarial neural network (DANN) architecture. The DANN architecture includes feed-forward propagation and backpropagation. A target domain machine learning model is obtained based on the source domain dataset, the target domain dataset, the feature vector, and the set of loss terms and without labels for the target domain dataset to perform training.
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4.发明授权公开(公告)号：US11164270B2
公开(公告)日：2021-11-02
申请号：US16144732
申请日：2018-09-27
发明人： HongLei Guo , Zhili Guo , Song Xu , Shiwan Zhao , Elaine M. Branagh , Pitipong Jun Sen Lin , Zhong Su
摘要： A method is provided for role-oriented risk analysis in a contract. The method generates, using deep semantic association analysis, a report specifying a set of potential risks relating to explicit and hidden roles of contract parties. The generating step categorizes input statements of the contract into respective obligation/right pairs according to a deep semantic association distribution thereof. Each pair includes a respective obligation and a respective right. The generating step detects deep semantic differences between the respective pairs and a set of reference obligation/right pairs. The generating step identifies the explicit and hidden roles of the involved parties in the respective obligations/rights pairs according to domain-specific use scenarios and multidimensional local and global context clues in the contract. The generating step identifies the set of potential risks by applying a deep semantic role-oriented risk entailment model to the deep semantic differences.
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公开(公告)号：US11010560B2
公开(公告)日：2021-05-18
申请号：US16184227
申请日：2018-11-08
发明人： Song Xu , Zhili Guo , HongLei Guo , Shiwan Zhao , Pitipong Jun Sen Lin , Elaine Branagh , Zhong Su
摘要： Methods and systems for natural language processing include generating respective feature vectors, for each word in an input, based on sequences of input words of different respective lengths. The respective feature vectors for each word in the input are combined to form a combined vector for each word. A hidden state is determined for each word in the input based on the combined vector. The hidden states for all words in the input are combined to form a multi-resolution context vector. A natural language processing action is performed using the multi-resolution context vector.
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公开(公告)号：US20200180644A1
公开(公告)日：2020-06-11
申请号：US16210175
申请日：2018-12-05
发明人： Zhi Hu Wang , Shiwan Zhao , Jun Zhu , Li Zhang , Guo Qiang Hu
摘要： A computer-implemented method for implementing cognitive state recognition within a telematics system includes determining moving object operation behaviors of an operator of a moving object corresponding to respective select contextual combinations, generating a personalized base characteristic for each select contextual combination, recognizing a cognitive state based on a comparison of actual moving object operation behaviors associated with the select contextual combinations and corresponding ones of the personalized base characteristics, and automatically triggering one or more actions based on the cognitive state.
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公开(公告)号：US20190172233A1
公开(公告)日：2019-06-06
申请号：US16270757
申请日：2019-02-08
发明人： Keke Cai , Dongxu Duan , Zhong Su , Li Zhang , Xiaolu Zhang , Shiwan Zhao
CPC分类号： G06T11/206 , G06K9/00335 , G06K9/00463 , G06T11/00
摘要： A method, system, and computer program product, include receiving a first input at a first element among a plurality of elements associated with at least one electronic document, determining a second element associated with the first element from the plurality of elements based on predetermined relations of the plurality of elements, and causing a view to be displayed together with an electronic document including the first element, the view at least including the second element.
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公开(公告)号：US20190163726A1
公开(公告)日：2019-05-30
申请号：US15828342
申请日：2017-11-30
发明人： Keke Cai , HongLei Guo , Zhong Su , Li Zhang , Shiwan Zhao
CPC分类号： G06F17/215 , G06F16/5846 , G06F17/2247 , G06F17/2264 , G06F17/271 , G06F17/2715 , G06K9/00463 , G06K9/6814 , G06K2209/01
摘要： A method, computer system, and a computer program product for automatic equation transformation from text is provided. The present invention may include receiving a text document. The present invention may then include identifying a mathematical formula expressed in the received text document. The present invention may then include removing a plurality of superfluous language from the received text document based on the identified mathematical formula. The present invention may also include transforming the identified mathematical formula into a symbolic representation based on a trained model. The present invention may finally include outputting the symbolic representation.
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公开(公告)号：US20190141189A1
公开(公告)日：2019-05-09
申请号：US16237868
申请日：2019-01-02
发明人： Keke Cai , Bai Chen Deng , Dongxu Duan , Zhong Su , Li Zhang , Xiaolu Zhang , Shiwan Zhao
CPC分类号： H04M3/436 , H04L67/10 , H04M1/575 , H04M1/663 , H04M3/42042 , H04M3/42059 , H04M3/42068 , H04M3/42153 , H04M3/4365
摘要： A method, system, and computer program product, include receiving a request for registration from a service provider, upon the service receiver having authorized the request for registration, registering characteristic information of the service call in a user device of a service receiver, and upon a lapse of time, deregistering the characteristic information from the user device.
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公开(公告)号：US10250747B2
公开(公告)日：2019-04-02
申请号：US15915152
申请日：2018-03-08
发明人： Keke Cai , Bai Chen Deng , Dongxu Duan , Zhong Su , Li Zhang , Xiaolu Zhang , Shiwan Zhao
摘要： A method, system, and computer program product, include receiving a request for registration from a service provider, upon the service receiver having authorized the request for registration, registering characteristic information of the service call in a user device of a service receiver, and upon a lapse of time, deregistering the characteristic information from the user device.
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