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公开(公告)号：US20210374195A1
公开(公告)日：2021-12-02
申请号：US16951889
申请日：2020-11-18
IPC: G06F16/951 , G06F16/958 , G06F16/9535
Abstract: The present disclosure provides an information processing method, an electronic device and a computer storage medium, and relates to a field of information processing. The method includes: obtaining a first content based on a first search keyword indicating a first event and a second search keyword indicating an object related to the first event; obtaining information associated with an attribute of the object from the first content; obtaining a second content based on the first search keyword and a third search keyword indicating a result at least caused by the first event; and generating statistical data associated with the first event based on the information and the second content.
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公开(公告)号：US20210200958A1
公开(公告)日：2021-07-01
申请号：US16938355
申请日：2020-07-24
Inventor： Hao LIU , Bolei HE , Xinyan XIAO
IPC: G06F40/30 , G06F40/289 , G06F40/242 , G06N3/08 , G06N3/04
Abstract: The present disclosure discloses a comment information processing method and apparatus, and a medium. The specific implementation solution is: in response to a user operation, determining an opinion category corresponding to each opinion phrase in a comment opinion dictionary; obtaining a target corpus matching each opinion phrase from a plurality of comment corpora; for each opinion phrase, using a corresponding opinion category to label the target corpus matching each opinion phrase to obtain a first training sample; and training a classification model with the first training sample to identify the opinion category of a comment by using a trained classification model.
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公开(公告)号：US20210383121A1
公开(公告)日：2021-12-09
申请号：US17115263
申请日：2020-12-08
Inventor： Chengxiang LIU , Hao LIU , Bolei HE
Abstract: A method for generating a tag of a video, an electronic device, and a storage medium are related to a field of natural language processing and deep learning technologies. The detailed implementing solution includes: obtaining multiple candidate tags and video information of the video; determining first correlation information between the video information and each of the multiple candidate tags; sorting the multiple candidate tags based on the first correlation information to obtain a sort result; and generating the tag of the video based on the sort result.
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Patent Agency Ranking
4.发明申请公开(公告)号：US20210209421A1
公开(公告)日：2021-07-08
申请号：US17211612
申请日：2021-03-24
Inventor： Huan LIU , Mingquan CHENG , Kunbin CHEN , Zhun LIU , Bolei HE , Wei HE
Abstract: Embodiments of the present disclosure disclose a method and apparatus for constructing a quality evaluation model, an electronic device and a computer-readable storage medium. A specific implementation mode of the method comprises: acquiring samples of knowledge contents; extracting statistical features, semantic features, and image features respectively from the samples of knowledge contents; and constructing a quality evaluation model for knowledge according to the statistical features, the semantic features, and the image features. On the basis of the prior art, this implementation mode additionally uses semantic features and image features of knowledge contents to construct a more accurate quality evaluation model based on multi-dimensional features that characterize the actual quality of a knowledge, which may well discover some brief but very useful summary knowledge in an enterprise and may recommend high-quality knowledge more accurately for employees in the enterprise.
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公开(公告)号：US20210200949A1
公开(公告)日：2021-07-01
申请号：US16935040
申请日：2020-07-21
Inventor： Can GAO , Hao LIU , Bolei HE , Xinyan XIAO , Hao TIAN
IPC: G06F40/242 , G06F40/279
Abstract: The present disclosure provides a pre-training method for a sentiment analysis model and an electronic device, which relates to a field of artificial intelligence technologies. The method includes: based on a given seed sentiment dictionary, performing sentimental knowledge detection on a training corpus in a training corpus set, and determining a detection sentiment word and a detection word pair of the training corpus; according to preset mask processing rules, performing mask process on the training corpus to generate a masked corpus; performing encoding and decoding on the masked corpus by using a preset encoder and decoder to determine the detection sentiment word and the detection word pair of the training corpus; and updating the preset encoder and decoder according to a difference between prediction sentiment word and the detection sentiment word, and a difference between prediction word pair and the detection word pair.
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公开(公告)号：US20190012377A1
公开(公告)日：2019-01-10
申请号：US16018983
申请日：2018-06-26
Inventor： Jiachen LIU , Bolei HE , Xinyan XIAO , Yajuan LYU , Xiaoxu FEI
Abstract: The present disclosure provides a method and a device for generating a text tag. The method includes: performing keyword extraction using strategies corresponding to respective tag types on a target text, to obtain one or more candidate tags of the respective tag types for the target text, wherein the tag type includes at least one of an entity word, a segment text and a topic; performing reduplication removing between different tag types on the one or more candidate tags of the respective tag types to obtain one or more validated candidate tags; and determining one or more target tags of the target text based on the one or more validated candidate tags.
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公开(公告)号：US20210303921A1
公开(公告)日：2021-09-30
申请号：US16988774
申请日：2020-08-10
Inventor： Guocheng NIU , Bolei HE , Xinyan XIAO
Abstract: A cross-modality processing method is related to a field of natural language processing technologies. The method includes: obtaining a sample set, wherein the sample set includes a plurality of corpus and a plurality of images; generating a plurality of training samples according to the sample set, in which each of the plurality of the training samples is a combination of at least one of the plurality of the corpus and at least one of the plurality of the images corresponding to the at least one of the plurality of the corpus; adopting the plurality of the training samples to train a semantic model, so that the semantic model learns semantic vectors containing combinations of the corpus and the images.
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公开(公告)号：US20200210468A1
公开(公告)日：2020-07-02
申请号：US16705749
申请日：2019-12-06
Inventor： Guocheng NIU , Bolei HE , Chengxiang LIU , Xinyan XIAO , Yajuan LYU
IPC: G06F16/36 , G06N3/08 , G06F40/295 , G06F40/30
Abstract: The present disclosure provides a document recommendation method based on a semantic tag and a document recommendation device. The method includes: for each document, acquiring a first candidate tag set corresponding to the document, and processing each first candidate tag in the first candidate tag set corresponding to the document to obtain a second candidate tag set corresponding to the document; performing normalization processing on each second candidate tag in the second candidate tag set corresponding to the document to obtain a third candidate tag set corresponding to the document; performing expanding process on each third candidate tag in the third candidate tag set corresponding to the document, and acquiring a fourth candidate tag set corresponding to the document, to form a document library having semantic tags; and recommending a target document obtained from the document library having semantic tags to the user, according to historical semantic tag.
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