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公开(公告)号：US10460029B2
公开(公告)日：2019-10-29
申请号：US15357648
申请日：2016-11-21
Applicant: Huawei Technologies Co., Ltd.
Inventor： Zhengdong Lu , Yibo Zhang , Hang Li
Abstract: A reply information recommendation method and apparatus provides recommended reply information suitable for a context that can be quickly and accurately calculated when a user replies to information. A specific solution is: acquiring information to be replied to received by a user and pre-reply information that is input by the user and corresponding to the information to be replied to; performing segmentation processing on the information to be replied to, to obtain a segmentation processing result; learning a stored text interaction history set of the user to obtain a reply model; obtaining candidate reply information with reference to the segmentation processing result of the information to be replied to and the reply model; and calculating a set of recommended reply information with reference to the candidate reply information and the pre-reply information. The embodiments of present invention are used for reply information recommendation.
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公开(公告)号：US11308405B2
公开(公告)日：2022-04-19
申请号：US16514683
申请日：2019-07-17
Applicant: Huawei Technologies Co., Ltd.
Inventor： Lifeng Shang , Zhengdong Lu , Hang Li
Abstract: An apparatus is pre-equipped with a plurality of dialogue robots, and each dialogue robot is configured to conduct a human-computer dialogue based on at least one topic. The method includes: obtaining a text entered by a user; determining at least one topic related to the text, and determining a target dialogue robot from the plurality of dialogue robots based on the at least one topic related to the text and a predefined mapping relationship between a dialogue robot and a topic, where a target topic corresponding to the target dialogue robot is some or all of the at least one topic related to the text; and allocating the text to the target dialogue robot and obtaining a reply for the text from the target dialogue robot, where the reply is generated by the target dialogue robot based on at least one semantic understanding of the text.
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公开(公告)号：US11138385B2
公开(公告)日：2021-10-05
申请号：US16672092
申请日：2019-11-01
Applicant: Huawei Technologies Co., Ltd.
Inventor： Zhengdong Lu , Hang Li
IPC: G06F40/30 , G06N3/04 , G06F16/36 , G06F40/284
Abstract: A method and an apparatus for determining a semantic matching degree, where the method includes acquiring a first sentence and a second sentence, dividing the first sentence and the second sentence into x and y sentence fragments, respectively, performing a convolution operation on word vectors in each sentence fragment of the first sentence and word vectors in each sentence fragment of the second sentence to obtain a three-dimensional tensor, performing integration or screening on adjacent vectors in the one-dimensional vectors of x rows and y columns, until the three-dimensional tensor is combined into a one-dimensional target vector, and determining a semantic matching degree between the first sentence and the second sentence according to the target vector.
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公开(公告)号：US20200065388A1
公开(公告)日：2020-02-27
申请号：US16672092
申请日：2019-11-01
Applicant: Huawei Technologies Co., Ltd.
Inventor： Zhengdong Lu , Hang Li
Abstract: A method and an apparatus for determining a semantic matching degree, where the method includes acquiring a first sentence and a second sentence, dividing the first sentence and the second sentence into x and y sentence fragments, respectively, performing a convolution operation on word vectors in each sentence fragment of the first sentence and word vectors in each sentence fragment of the second sentence to obtain a three-dimensional tensor, performing integration or screening on adjacent vectors in the one-dimensional vectors of x rows and y columns, until the three-dimensional tensor is combined into a one-dimensional target vector, and determining a semantic matching degree between the first sentence and the second sentence according to the target vector.
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公开(公告)号：US20180276525A1
公开(公告)日：2018-09-27
申请号：US15993619
申请日：2018-05-31
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Xin Jiang , Zhengdong Lu , Hang Li
CPC classification number: G06N3/006 , G06F16/3329 , G06F17/2715 , G06F17/2785 , G06N3/0427 , G06N3/0445 , G06N3/0454 , G06N3/084
Abstract: A method and neural network system for human-computer interaction, and user equipment are disclosed. According to the method for human-computer interaction, a natural language question and a knowledge base are vectorized, and an intermediate result vector that is based on the knowledge base and that represents a similarity between a natural language question and a knowledge base answer is obtained by means of vector calculation, and then a fact-based correct natural language answer is obtained by means of calculation according to the question vector and the intermediate result vector. By means of this method, a dialog and knowledge base-based question-answering are combined by means of vector calculation, so that natural language interaction can be performed with a user, and a fact-based correct natural language answer can be given according to the knowledge base.
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Patent Agency Ranking
公开(公告)号：US12014251B2
公开(公告)日：2024-06-18
申请号：US17549231
申请日：2021-12-13
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Qiang Yang , Yangqiu Song , Wing Ki Leung , Zhengdong Lu
IPC: G06N5/022 , G06F16/2458 , G06N5/043 , G06N20/00
CPC classification number: G06N20/00 , G06F16/2465 , G06N5/022 , G06N5/043
Abstract: A method for processing information by an intelligent agent and the intelligent agent, where the method comprises: a first intelligent agent sends a request message to a second intelligent agent, where the request message includes an invitation message or a recommendation message; the first intelligent agent receives a decision message fed back by the second intelligent agent, where the decision message is determined according to the invitation message or the recommendation message and a knowledge model of the second intelligent agent; and the first intelligent agent updates, according to the decision message, a knowledge model of the first intelligent agent or sends a notification message to a first user account corresponding to the first intelligent agent. By using these technical solutions, information on a social network may be learned and processed by means of interaction with another intelligent agent, thereby implementing mining of data on the social network.
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公开(公告)号：US11640515B2
公开(公告)日：2023-05-02
申请号：US15993619
申请日：2018-05-31
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Xin Jiang , Zhengdong Lu , Hang Li
IPC: G06N3/00 , G06N3/04 , G06F16/332 , G06N3/08 , G06F40/30 , G06F40/216 , G06N3/006 , G06N3/084
Abstract: A method and neural network system for human-computer interaction, and user equipment are disclosed. According to the method for human-computer interaction, a natural language question and a knowledge base are vectorized, and an intermediate result vector that is based on the knowledge base and that represents a similarity between a natural language question and a knowledge base answer is obtained by means of vector calculation, and then a fact-based correct natural language answer is obtained by means of calculation according to the question vector and the intermediate result vector. By means of this method, a dialog and knowledge base-based question-answering are combined by means of vector calculation, so that natural language interaction can be performed with a user, and a fact-based correct natural language answer can be given according to the knowledge base.
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公开(公告)号：US20220147848A1
公开(公告)日：2022-05-12
申请号：US17577713
申请日：2022-01-18
Applicant: Huawei Technologies Co., Ltd.
Inventor： Lifeng Shang , Zhengdong Lu , Hang LI
Abstract: A method includes: obtaining a text entered by a user; determining at least one topic related to the text; determining a target dialogue robot from the plurality of dialogue robots based on the at least one topic related to the text and a predefined mapping relationship between a dialogue robot and a topic, where a target topic corresponding to the target dialogue robot is some or all of the at least one topic related to the text; allocating the text to the target dialogue robot; and obtaining a reply for the text from the target dialogue robot, where the reply is generated by the target dialogue robot based on at least one semantic understanding of the text.
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公开(公告)号：US10929452B2
公开(公告)日：2021-02-23
申请号：US16688090
申请日：2019-11-19
Applicant: Huawei Technologies Co., Ltd.
Inventor： Piji Li , Zhengdong Lu , Hang Li
IPC: G06F3/048 , G06F16/34 , G06N20/00 , G06F40/211 , G06F40/289 , G06F17/16
Abstract: A multi-document summary generation method includes obtaining a candidate sentence set, training each candidate sentence in the candidate sentence set using a cascaded attention mechanism and an unsupervised learning model in a preset network model, to obtain importance of each candidate sentence, selecting, based on the importance of each candidate sentence, a phrase that meets a preset condition from the candidate sentence set as a summary phrase set, and obtaining a summary of a plurality of candidate documents based on the summary phrase set.
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公开(公告)号：US20170124064A1
公开(公告)日：2017-05-04
申请号：US15357648
申请日：2016-11-21
Applicant: Huawei Technologies Co., Ltd.
Inventor： Zhengdong Lu , Yibo Zhang , Hang Li
CPC classification number: G06F17/274 , G06F16/00 , G06F16/2468 , G06F17/2229 , G06F17/248 , G06F17/2705 , G06F17/2785 , G06F17/2818 , G06Q10/107
Abstract: A reply information recommendation method and apparatus provides recommended reply information suitable for a context that can be quickly and accurately calculated when a user replies to information. A specific solution is: acquiring information to be replied to received by a user and pre-reply information that is input by the user and corresponding to the information to be replied to; performing segmentation processing on the information to be replied to, to obtain a segmentation processing result; learning a stored text interaction history set of the user to obtain a reply model; obtaining candidate reply information with reference to the segmentation processing result of the information to be replied to and the reply model; and calculating a set of recommended reply information with reference to the candidate reply information and the pre-reply information. The embodiments of present invention are used for reply information recommendation.
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