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公开(公告)号：US20180365257A1
公开(公告)日：2018-12-20
申请号：US15933685
申请日：2018-03-23
Inventor： Liwei Chen , Xiao Zhou , Dianhai Yu , Shiqi Zhao
Abstract: The present disclosure discloses a query method and apparatus. A specific implementation of the method comprises: acquiring a target historical query statement from a historical query statement collection; extending the target historical query statement based on a query log to generate an extended statement fragment associated with the target historical query statement; adding the extended statement fragment, as a statement fragment characteristic associated with the target historical query statement, into a statement fragment characteristic library of a preset model; and generating a query result corresponding to a query statement based on the statement fragment characteristic library of the preset model in response to receiving the query statement. According to an embodiment of the present disclosure, the extended statement fragment is added, as the statement fragment characteristic associated with the target historical query statement, into the statement fragment characteristic library of the preset model.
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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：US11151177B2
公开(公告)日：2021-10-19
申请号：US16054842
申请日：2018-08-03
Inventor： Yukun Li , Yi Liu , Yu Sun , Dianhai Yu
Abstract: Embodiments of the present disclosure disclose a search method and apparatus based on artificial intelligence. A specific implementation of the method comprises: acquiring at least one candidate document related to a query sentence; determining a query word vector sequence corresponding to a segmented word sequence of the query sentence, and determining a candidate document word vector sequence corresponding to a segmented word sequence of each candidate document in the at least one candidate document; performing a similarity calculation for each candidate document in the at least one candidate document; selecting, in a descending order of similarities between the candidate document and the query sentence, a preset number of candidate documents from the at least one candidate document as a search result.
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公开(公告)号：US20180365579A1
公开(公告)日：2018-12-20
申请号：US16008559
申请日：2018-06-14
Inventor： Shengxian Wan , Yu Sun , Dianhai Yu
Abstract: The present disclosure provides a method and apparatus for evaluating a matching degree of multi-domain information based on artificial intelligence, a device and a medium. The method comprises: respectively obtaining valid words in a query, and valid words in each information domain in at least two information domains in a to-be-queried document; respectively obtaining word expressions of valid words in the query and word expressions of valid words in said each information domain in at least two information domains in the to-be-queried document; based on the word expressions, respectively obtaining context-based word expressions of valid words in the query and context-based word expressions of valid words in said each information domain; generating matching features corresponding to said each information domain according to the obtained information; determining a matching degree score between the query and the to-be-queried document according to the matching features corresponding to said each information domain.
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公开(公告)号：US11481656B2
公开(公告)日：2022-10-25
申请号：US16008559
申请日：2018-06-14
Inventor： Shengxian Wan , Yu Sun , Dianhai Yu
Abstract: The present disclosure provides a method and apparatus for evaluating a matching degree of multi-domain information based on artificial intelligence, a device and a medium. The method comprises: respectively obtaining valid words in a query, and valid words in each information domain in at least two information domains in a to-be-queried document; respectively obtaining word expressions of valid words in the query and word expressions of valid words in said each information domain in at least two information domains in the to-be-queried document; based on the word expressions, respectively obtaining context-based word expressions of valid words in the query and context-based word expressions of valid words in said each information domain; generating matching features corresponding to said each information domain according to the obtained information; determining a matching degree score between the query and the to-be-queried document according to the matching features corresponding to said each information domain.
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Patent Agency Ranking
公开(公告)号：US11232140B2
公开(公告)日：2022-01-25
申请号：US16054920
申请日：2018-08-03
Inventor： Shuohuan Wang , Yu Sun , Dianhai Yu
IPC: G06F16/33 , G10L15/18 , G06F16/31 , G06F16/951 , G06F40/30 , G06F40/211
Abstract: Embodiments of the present disclosure disclose a method and apparatus for processing information. A specific implementation of the method includes: acquiring a search result set related to a search statement inputted by a user; parsing the search statement to generate a first syntax tree, and parsing a search result in the search result set to generate a second syntax tree set; calculating a similarity between the search statement and the search result in the search result set using a pre-trained semantic matching model on the basis of the first syntax tree and the second syntax tree set, the semantic matching model being used to determine the similarity between the syntax trees; and sorting the search result in the search result set on the basis of the similarity between the search statement and the search result in the search result set, and pushing the sorted search result set to the user.
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公开(公告)号：US20210382699A1
公开(公告)日：2021-12-09
申请号：US17445347
申请日：2021-08-18
Inventor： Shuo TIAN , Tao Luo , Zhefeng Ning , Xiang Lan , Dianhai Yu , Yanjun Ma
Abstract: A data processing method, an electronic device and a computer storage medium, related to the field of artificial intelligence such as deep learning and big data, are provided. The method includes: extracting, in submission information of a current test task, a first sub-directory in which a dependent package required for constructing a model is located; and obtaining the dependent package from a local storage module, in a case where the first sub-directory is as same as a second sub-directory in submission information for a historical test task. Thereby, efficiency of acquiring the dependent package can be increased and execution efficiency of a process for constructing models according to the dependent package is further increased.
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公开(公告)号：US10762305B2
公开(公告)日：2020-09-01
申请号：US16005779
申请日：2018-06-12
Inventor： Yi Liu , Daxiang Dong , Dianhai Yu
IPC: G06F16/35 , G06F40/56 , H04L12/58 , G06F17/18 , G06N3/04 , G06N3/08 , G06N3/00 , G06F40/35 , G06F40/49 , G06F40/279 , G06N5/04 , G06F16/583
Abstract: Embodiments of the present disclosure relate to a method for generating chatting data based on AI, a computer device and a computer-readable storage medium. The method includes: converting chatting data inputted by a user into an input word sequence; converting a tag of the user into a tag word sequence; based on a preset encoding-decoding model with an attention model, predicting according to the input word sequence and the tag word sequence to obtain a target word sequence; and converting the target word sequence into reply data of the chatting data.
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公开(公告)号：US10664504B2
公开(公告)日：2020-05-26
申请号：US15891258
申请日：2018-02-07
Inventor： Liwei Chen , Xiao Zhou , Dianhai Yu , Shiqi Zhao
IPC: G06F16/00 , G06F16/332 , G06N3/02 , H04L12/58 , G06F16/951 , G06N5/02 , G06N3/04
Abstract: The present disclosure discloses an interaction method and apparatus based on artificial intelligence. A specific embodiment of the method comprises: receiving a current interactive statement entered by a user through a terminal; extracting at least one type of characteristic based on the current interactive statement and a previous interactive statement entered by the user; processing the at least one type of characteristic using a pretrained neural network model to determine whether an intent maintaining relationship exists between the current interactive statement and the previous interactive statement; and if the intent maintaining relationship exists, updating a limitation condition for the previous interactive statement using the current interactive statement, performing information retrieval using the previous interactive statement with the updated limitation condition, and pushing a retrieved retrieval result to the terminal. This embodiment reduces time spent in user entry.
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10.发明申请公开(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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