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    Community Question Answering-Based Article Recommendation Method, System, and User Device
    5.
    发明申请
    Community Question Answering-Based Article Recommendation Method, System, and User Device 审中-公开

    公开(公告)号：US20190303768A1

    公开(公告)日：2019-10-03

    申请号：US16444618

    申请日：2019-06-18

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Xi Zhang ,  Lin Ma ,  Xin Jiang ,  Hang Li

    IPC: G06N5/02 ,  G06N20/00

    Abstract: A community question answering-based article recommendation system, user device, and method includes obtaining text information of a question for a target article; constructing 2-tuple information using the text information of the question and modal content information of each of a plurality of preset articles in a preset article set; inputting each piece of 2-tuple information into a preset matching model; calculating, with reference to a preset matching model parameter, a score of matching between each preset article and the question; and outputting an article recommendation list for the question for the target article based on the scores of matching between the plurality of preset articles and the question for the target article.

    Method and neural network system for human-computer interaction, and user equipment
    6.
    发明授权
    Method and neural network system for human-computer interaction, and user equipment 有权

    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.

    Method and apparatus for sending search request
    7.
    发明授权
    Method and apparatus for sending search request 有权

    公开(公告)号：US11080347B2

    公开(公告)日：2021-08-03

    申请号：US16292992

    申请日：2019-03-05

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Dawei Huo ,  Li Qian ,  Xin Jiang

    IPC: G06F16/95 ,  G06F16/9532 ,  H04L29/08 ,  G06F16/9032 ,  G06F16/9538 ,  G06F17/18

    Abstract: Sending a search request includes: during a running procedure of a search engine client, generating a forged search request, where the forged search request carries a forged search word; and sending the forged search request to the search engine server. The forged search request is sent to the search engine server, to serve as a factor interfering with an analysis of a user behavior by the search engine server based on a true search request, to prevent the search engine server from analyzing the user behavior based on a search word entered by a user, thereby improving user experience.

    Paraphrase Sentence Generation Method and Apparatus
    8.
    发明申请
    Paraphrase Sentence Generation Method and Apparatus 审中-公开

    公开(公告)号：US20200250377A1

    公开(公告)日：2020-08-06

    申请号：US16856450

    申请日：2020-04-23

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Xin Jiang ,  Lifeng Shang ,  Hang Li ,  Zichao Li

    IPC: G06F40/289

    Abstract: A paraphrase sentence generation method and apparatus relating to the research field of natural language processing include generating m second sentences based on a first sentence and a paraphrase generation model, determining a matching degree between each of the m second sentences and the first sentence based on a paraphrase matching model, and determining n second sentences from the m second sentences based on matching degrees among the m second sentences and the first sentence, where the paraphrase generation model is obtained through reinforcement learning-based training based on a reward of the paraphrase matching model.

    SENTENCE PARAPHRASE METHOD AND APPARATUS, AND METHOD AND APPARATUS FOR TRAINING SENTENCE PARAPHRASE MODEL
    9.
    发明申请
    SENTENCE PARAPHRASE METHOD AND APPARATUS, AND METHOD AND APPARATUS FOR TRAINING SENTENCE PARAPHRASE MODEL 有权

    公开(公告)号：US20220215159A1

    公开(公告)日：2022-07-07

    申请号：US17701775

    申请日：2022-03-23

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Lihua Qian ,  Yinpeng Guo ,  Lin Qiu ,  Weinan Zhang ,  Xin Jiang ,  Yong Yu

    IPC: G06F40/166 ,  G06F40/20 ,  G06F40/40

    Abstract: This disclosure relates to a natural language processing technology, and provides a sentence paraphrase method and apparatus. The method includes: paraphrasing an input sentence by using a sentence paraphrase model, to generate a plurality of candidate paraphrased sentences; and determining a similarity between each of the plurality of candidate paraphrased sentences and the input sentence, to obtain an output sentence whose similarity to the input sentence is greater than or equal to a preset threshold, where each of a plurality of paraphrased sentence generators in the sentence paraphrase model includes one neural network, the plurality of paraphrased sentence generators are trained by using source information and similarity information as a first reward, and the paraphrased sentence is obtained by paraphrasing the training sentence by using the plurality of paraphrased sentence generators. In the sentence paraphrase method, diversity of a paraphrased sentence and quality of the paraphrased sentence can be improved.

    TEXT PROCESSING MODEL TRAINING METHOD, AND TEXT PROCESSING METHOD AND APPARATUS
    10.
    发明申请
    TEXT PROCESSING MODEL TRAINING METHOD, AND TEXT PROCESSING METHOD AND APPARATUS 有权

    公开(公告)号：US20220180202A1

    公开(公告)日：2022-06-09

    申请号：US17682145

    申请日：2022-02-28

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Yichun Yin ,  Lifeng Shang ,  Xin Jiang ,  Xiao Chen

    IPC: G06N3/08 ,  G06N3/04 ,  G06F40/30 ,  G06F40/166 ,  G06F40/279

    Abstract: A text processing model training method, and a text processing method and apparatus in the natural language processing field in the artificial intelligence field are disclosed. The training method includes: obtaining training text; separately inputting the training text into a teacher model and a student model to obtain sample data output by the teacher model and prediction data output by the student model; the sample data includes a sample semantic feature and a sample label; the prediction data includes a prediction semantic feature and a prediction label; and the teacher model is a pre-trained language model used for text classification; and training a model parameter of the student model based on the sample data and the prediction data, to obtain a target student model. The method enables the student model to effectively perform knowledge transfer, thereby improving accuracy of a text processing result of the student model.

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