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公开(公告)号:US11727302B2
公开(公告)日:2023-08-15
申请号:US16006208
申请日:2018-06-12
Inventor: Ke Sun , Shiqi Zhao , Dianhai Yu , Haifeng Wang
Abstract: A method and apparatus for building a conversation understanding system based on artificial intelligence, a device and a computer-readable storage medium. In embodiments of the present disclosure, it is feasible to obtain the training feedback information provided by conversation service conducted by the user and the basic conversation understanding system, then according to the training feedback information, perform adjustment processing for a service state of the basic conversation understanding system, to obtain an adjustment state of the basic conversation understanding system. It is possible to perform data merging processing according to the training feedback information and the adjustment state of the basic conversation understanding system, to obtain model training data for building the model conversation understanding system. This method does not require persons to participate in annotation operations of the training data, exhibits simple operations and a high correctness rate, improving the efficiency and reliability of the conversation understanding system.
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公开(公告)号:US11157699B2
公开(公告)日:2021-10-26
申请号:US15926019
申请日:2018-03-20
Inventor: Chaoyue Wang , Ke Sun , Shiqi Zhao
IPC: G09B7/02 , G06F40/30 , G06F3/0484 , G09B7/04
Abstract: The present disclosure provides an interactive method and apparatus based on a test-type application, The method includes: obtaining a pre-established knowledge graph including non-leaf nodes indicating test questions, lines indicating test answers and leaf nodes indicating test results; selecting an interactive question for the current round from the test questions indicated by the non-leaf nodes and displaying the interactive question in the dialog box; when a user inputs an interactive answer with respect to the interactive question in the dialog box, querying a matched target line in the lines connected to the non-leaf node corresponding to the interactive question for the current round according to the interactive answer of the current round, to determine the target node connected to the non-leaf node through the target line; and displaying a test result or a test question for the next round in the dialog box according to the target node.
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公开(公告)号:US11449500B2
公开(公告)日:2022-09-20
申请号:US16892874
申请日:2020-06-04
Inventor: Lijie Wang , Bo Yu , Ke Sun , Tingting Li
IPC: G06F16/00 , G06F16/2452 , G06F16/242 , G06F16/28 , G06K9/62
Abstract: Embodiments of the present disclosure provide a method and apparatus for outputting a structured query sentence. The method may include: acquiring a to-be-converted natural language sentence; inputting the to-be-converted natural language sentence into a pre-trained sequence to sequence model to obtain an action sequence corresponding to the to-be-converted natural language sentence; generating a directed acyclic graph according to the action sequence; and outputting a structured query sentence corresponding to the generated directed acyclic graph according to a preset corresponding relationship between a directed acyclic graph and a structured query sentence.
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公开(公告)号:US11521603B2
公开(公告)日:2022-12-06
申请号:US17061353
申请日:2020-10-01
Inventor: Ke Sun , Ying Liu , Kai Liu , Lei Han , Chao Wang , Yingzhuo Song , Shuai Gao , Liyan Yang , Qianqian Wang , Jing Liu , Di Wei
IPC: G10L15/183 , G10L15/26 , H04L12/18
Abstract: A conference minutes generation method is provided, which relates to the technical field of natural language processing. The conference minutes generation method comprises: acquiring a text conference record; dividing the text conference record into a plurality of conference paragraphs, generating a conference paragraph summary for each conference paragraph, and generating a conference record summary based on the conference paragraph summary of each conference paragraph; extracting conference instructions based on the text conference record; and generating the conference minutes based on the conference record summary and the conference instructions.
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公开(公告)号:US11321370B2
公开(公告)日:2022-05-03
申请号:US17031502
申请日:2020-09-24
Inventor: Zhenyu Jiao , Shuqi Sun , Ke Sun , Tingting Li
IPC: G06F16/332 , G06F16/38 , G06F16/35 , G06N5/04
Abstract: The present disclosure discloses a method for generating a question answering robot, relates to the field of robotics. The specific implementation includes: obtaining field information input by a user, obtaining a field-specific robot from a robot library based on the field information; obtaining a template list corresponding to the field-specific robot, providing the template list to the user, the template list including a plurality of templates; receiving the plurality of templates filled in by the user, the templates filled in by the user including at least one question and an answer corresponding to the at least one question; expanding the at least one question filled in by the user based on a question semantic database to form a combination of questions corresponding to the answer, the answer and the combination of questions forming a question-answer pair; and generating a question answering robot based on the question-answer pair.
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公开(公告)号:US20210240983A1
公开(公告)日:2021-08-05
申请号:US17236050
申请日:2021-04-21
Inventor: Jidong Peng , Cheng Wan , Cheng Chen , Shilei Wen , Ke Sun , Chengliang Luo
Abstract: A method and an apparatus for building extraction, and a storage medium are provided in the present disclosure. The method includes: obtaining remote sensing image data and user behavior associated data of a target area, in which the user behavior associated data and the remote sensing image data have a spatiotemporal correlation; generating new channel data according to the user behavior associated data and the remote sensing image data and extracting a building in the target area according to the remote sensing image data and the new channel data.
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7.
公开(公告)号:US20180357571A1
公开(公告)日:2018-12-13
申请号:US16006213
申请日:2018-06-12
Inventor: Ke Sun , Shiqi Zhao , Dianhai Yu , Haifeng Wang
CPC classification number: G06N99/005 , G06F7/14 , G06F17/2785
Abstract: A conversation processing method and apparatus based on artificial intelligence, a device and a computer-readable storage medium. The disclosure embodiments, enable the user feedback information provided by conversation service conducted by the user to model conversation understanding system, then according to the user feedback information, perform adjustment processing for a service state of the model conversation understanding system, to obtain an adjustment state of the model conversation understanding system so that it is possible to execute the conversation service with the model conversation understanding system, based on the adjustment state. Since a fault-tolerant and fault-correcting mechanism is provided, it is possible to adjust the understanding capability of the model conversation understanding system in real time and thereby effectively improve the reliability of conversation by collecting the user's user feedback information, and then adjusting the service state of the model conversation understanding system in time based on the user feedback information.
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公开(公告)号:US20210201895A1
公开(公告)日:2021-07-01
申请号:US16895630
申请日:2020-06-08
Inventor: Zhenlong Yu , Tingting Li , Huifeng Sun , Shuqi Sun , Ke Sun , Hehan Li
Abstract: Embodiments of the present disclosure provide a method and apparatus for outputting analysis abnormality information in a spoken language understanding. The method includes: acquiring first spoken language information and a first analysis result for the first spoken language information; determining whether the first analysis result includes intent information; determining whether the first spoken language information includes a predefined word slot value, in response to determining the first analysis result not including the intent information; and outputting information indicating an existence of an abnormality in the first analysis result, in response to determining the first spoken language information including the predefined word slot value.
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公开(公告)号:US10769372B2
公开(公告)日:2020-09-08
申请号:US16110449
申请日:2018-08-23
Inventor: Ke Sun , Chaoyue Wang , Tingting Li , Shiqi Zhao
IPC: G06F16/00 , G06F40/247 , G06F16/242 , G06F16/2458 , G06F16/35 , G06F40/279
Abstract: The present disclosure provides a synonym tag obtaining method and apparatus, a device, and a computer readable storage medium. By obtaining the central morpheme of the tag to be recognized and then obtaining the tag template of the tag to be recognized according to the tag to be recognized and the central morpheme of the tag to be recognized, to obtain the synonymy tag of the tag to be recognized according to the tag template, and the central morpheme of the tag to be recognized and at least one cluster of synonymy tag templates, it is possible to avoid the technical problem about reduction of the coverage rate of the synonymy tags caused by data sparsity of the mining resources and thereby improve the reliability of obtaining synonymy tags, without depending on mining resources such as a click log having a paraphrase relationship or data having bilingual parallel alignment corpus.
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10.
公开(公告)号:US11482211B2
公开(公告)日:2022-10-25
申请号:US16895630
申请日:2020-06-08
Inventor: Zhenlong Yu , Tingting Li , Huifeng Sun , Shuqi Sun , Ke Sun , Hehan Li
Abstract: Embodiments of the present disclosure provide a method and apparatus for outputting analysis abnormality information in a spoken language understanding. The method includes: acquiring first spoken language information and a first analysis result for the first spoken language information; determining whether the first analysis result includes intent information; determining whether the first spoken language information includes a predefined word slot value, in response to determining the first analysis result not including the intent information; and outputting information indicating an existence of an abnormality in the first analysis result, in response to determining the first spoken language information including the predefined word slot value.
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