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公开(公告)号：US10776578B2
公开(公告)日：2020-09-15
申请号：US16118104
申请日：2018-08-30
发明人： Miao Fan , Mingming Sun , Wutao Lin , Ping Li
IPC分类号： G06F17/27 , G06F40/247 , G06N3/08 , G06F40/30 , G06F40/242 , G06F17/21
摘要： A method for building the synonymy discriminating model comprises: obtaining a text pair in training samples; using a word vector dictionary to obtain a quantization matrix of texts in the text pair; regarding the quantization matrix of respective texts as input of a convolutional neural network, regarding a synonymy annotation result corresponding to the text pair as output of the convolutional neural network, and training the convolutional neural network to obtain a synonymy discriminating model. The method for discriminating the synonymous text comprises: obtaining a text pair to be discriminated; using a word vector dictionary to obtain a quantization matrix corresponding to texts in the text pair; regarding the quantization matrix of the texts as input of a synonymy discriminating model, and determining a synonymy discrimination result of the text pair according to output of the synonymy discriminating model.
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公开(公告)号：US20190287142A1
公开(公告)日：2019-09-19
申请号：US16421921
申请日：2019-05-24
发明人： Miao Fan , Yue Feng , Mingming Sun , Ping Li , Haifeng Wang
摘要： According to an exemplary embodiment of the present disclosure, a method, apparatus for evaluating a review, a device and a computer readable storage medium are provided. The method for evaluating a review includes obtaining a first vectorized representation of a set of text items in a review for a target object. The method further includes extracting a semantic feature of at least two consecutive text items of the set of text items based on the first vectorized representation. The method further includes determining a degree of importance of the at least two consecutive text items in a context of the review, and determining a degree of the review helping a user to evaluate the target object, based on the degree of importance and the semantic feature. In this way, an automatic, efficient, and accurate evaluation of the value of a review may be achieved.
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公开(公告)号：US11238050B2
公开(公告)日：2022-02-01
申请号：US16459282
申请日：2019-07-01
发明人： Miao Fan , Chao Feng , Mingming Sun , Ping Li , Haifeng Wang
IPC分类号： G06F16/00 , G06F16/2457 , G06F16/248
摘要： According to exemplary embodiments of the present disclosure, a method and an apparatus for determining a response for user input data, a device, and a computer-readable storage medium are provided. The method includes: obtaining search results associated with the user input data. The method also includes: determining correlation degrees between the search results and the user input data. The method also includes: building candidate content for the user input data based on the search results and the correlation degrees. The candidate content includes a paragraph associated with the user input data in the search results. The method also includes: determining the response for the user input data from the candidate content.
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公开(公告)号：US11977589B2
公开(公告)日：2024-05-07
申请号：US15733467
申请日：2019-03-06
发明人： Miao Fan , Jinxing Yu , Zehao Dou , Mingming Sun , Ping Li , Haifeng Wang
IPC分类号： G06F16/953 , G06N5/04 , G06N20/00
CPC分类号： G06F16/953 , G06N5/04 , G06N20/00
摘要： An information search method is provided. The method includes: searching for webpages related to a search request through a search engine; extracting respective texts related to the search request from respective webpages and splicing the texts to obtain a spliced text; obtaining a text segment from the spliced text; and sending the obtained text segment to the search engine, to display the obtained text segment in an information search result through the search engine. The present disclosure can bring great advantages to the search engine in terms of user experience and interaction, and can satisfy user requirements for a function of an intelligent question and answer. Through present disclosure, it is beneficial to directly presenting a short text with higher relevance to the search request to the user, thereby saving time in screening information for the user.
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公开(公告)号：US11756094B2
公开(公告)日：2023-09-12
申请号：US16803943
申请日：2020-02-27
发明人： Miao Fan , Mingming Sun , Ping Li , Haifeng Wang
IPC分类号： G06Q30/0601 , G06F16/2457 , G06F18/21
CPC分类号： G06Q30/0625 , G06F16/24573 , G06F18/2178
摘要： Embodiments of the present disclosure provide a method and a device for evaluating a comment quality, an electronic device, and a computer readable storage medium. The method includes: selecting a metadata key associated with a comment of an object from metadata of the object, the metadata including a plurality of key-value pairs; determining a value corresponding to the metadata key based on the metadata; and evaluating the comment quality based on the comment and the value corresponding to the metadata key.
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公开(公告)号：US11288593B2
公开(公告)日：2022-03-29
申请号：US15829677
申请日：2017-12-01
发明人： Mingming Sun , Ping Li
IPC分类号： G06F40/30 , G06N20/00 , G06F40/169 , G06F40/253 , G06F40/295
摘要： A method, apparatus and device are for extracting information. The method includes: acquiring an annotated corpus, which includes a plurality of sample sentences and annotated information sets corresponding to the sample sentences, constructing an input sequence and an output sequence based on the sample sentences and the annotated information sets corresponding to the sample sentences, obtaining an information extraction model generating the output sequence from the input sequence by carrying out training with a deep learning method, and inputting a to-be-processed sentence into the information extraction model to extract a knowledge information set included in the to-be-processed sentence. The annotated information set includes information of at least one piece of the following types of knowledge to be extracted from corresponding sample sentences: knowledge based on verbs or prepositions, knowledge based on noun attributes, knowledge of entity description, and knowledge of a relationship between an entity and a concept.
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公开(公告)号：US20200380555A1
公开(公告)日：2020-12-03
申请号：US16883076
申请日：2020-05-26
发明人： Miao Fan , Jiacheng Guo , Lin Liu , Lian Zhao , Yue Wang , Mingming Sun , Ping Li , Haifeng Wang
摘要： A method and apparatus for optimizing an Ad CTR estimation model are provided. The method includes: calculating a direction vector and a step vector based on data in a training set, wherein the direction vector and the step vector are associated with a first parameter vector, and the first parameter vector is a parameter vector of the Ad CTR prediction model; calculating an optimized first parameter vector by setting the first parameter vector, the direction vector and the step vector as inputs of an update function, and by using a second parameter vector, wherein the second parameter vector is a parameter vector of the update function; estimating an optimized second parameter vector according to an optimization target in a validation set, the optimization target is determined by using the optimized first parameter vector; updating the optimized first parameter vector by using the optimized second parameter vector.
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公开(公告)号：US20190122145A1
公开(公告)日：2019-04-25
申请号：US15829677
申请日：2017-12-01
发明人： Mingming Sun , Ping Li
摘要： A method, apparatus and device are for extracting information. The method includes: acquiring an annotated corpus, which includes a plurality of sample sentences and annotated information sets corresponding to the sample sentences, constructing an input sequence and an output sequence based on the sample sentences and the annotated information sets corresponding to the sample sentences, obtaining an information extraction model generating the output sequence from the input sequence by carrying out training with a deep learning method, and inputting a to-be-processed sentence into the information extraction model to extract a knowledge information set included in the to-be-processed sentence. The annotated information set includes information of at least one piece of the following types of knowledge to be extracted from corresponding sample sentences: knowledge based on verbs or prepositions, knowledge based on noun attributes, knowledge of entity description, and knowledge of a relationship between an entity and a concept.
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公开(公告)号：US11521016B2
公开(公告)日：2022-12-06
申请号：US16700593
申请日：2019-12-02
发明人： Miao Fan , Sen Ye , Chao Feng , Mingming Sun , Ping Li , Haifeng Wang
摘要： Embodiments of the present disclosure provide a method for generating an information assessment model, a method for determining the usefulness of comment information, apparatus, electronic device, and computer-readable medium. The method may include: acquiring training samples, the training samples including first sample comment information with a usefulness label and second sample comment information without a usefulness label; acquiring a predictor model and a discriminator model respectively constructed based on a generative network and a discrimination network in a generative adversarial network, and pre-training the predictor model using the first sample comment information, the predictor model being used to predict a usefulness label of a piece of comment information, the discriminator model being used to discriminate authenticity of a usefulness label; and training the predictor model and the discriminator model by iteratively performing a plurality of times of training operations, using the trained predictor model as an information assessment model.
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10.发明授权公开(公告)号：US11055374B2
公开(公告)日：2021-07-06
申请号：US16459913
申请日：2019-07-02
发明人： Miao Fan , Zehao Dou , Mingming Sun , Ping Li , Haifeng Wang
IPC分类号： G06F16/9535 , G06F16/2457 , G06K9/62 , G06F16/9038
摘要： The present disclosure provides a method and a device for information retrieval, and a computer readable storage medium. The method includes: determining a plurality of search results associated with user input data, and determining a first relevancy between each of the plurality of search results and the user input data; determining a plurality of target paragraphs associated with the user input data from each of the plurality of search results, and determining a second relevancy between each of the plurality of target paragraphs and the user input data; determining a target text segment associated with the user input data from the plurality of target paragraphs in each of the plurality of search results, and determining a third relevancy between the target text segment and the user input data; and determining an order of the plurality of search results based on the first relevancy, the second relevancy and the third relevancy.
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