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公开(公告)号：US20210374349A1
公开(公告)日：2021-12-02
申请号：US17444693
申请日：2021-08-09
Inventor： Jiachen LIU , Xinyan XIAO , Hua WU , Haifeng WANG
IPC: G06F40/295 , G06N20/00 , G06N5/02
Abstract: A method for text generation, relates to a field of natural language processing, including: obtaining corpus data; labeling the corpus data to obtain a first constraint element; obtaining a first generation target; and generating a first text matching the first generation target by inputting the corpus data and the first constraint element into a generation model.
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公开(公告)号：US20210286934A1
公开(公告)日：2021-09-16
申请号：US17331526
申请日：2021-05-26
Inventor： Jiachen LIU , Zhe HU , Xinyan XIAO , Hua WU
IPC: G06F40/117 , G06F40/126 , G06N20/00
Abstract: A method for implementing text generation, a device and a medium are provided. The method includes: determining a target task type of a target text generation task from multiple task types supported by a pre-trained general text generation model; determining, based on a requirement of the target text generation task for a target output text, a first target output text attribute for the target text generation task from multiple output text attributes supported by the general text generation model; and fine tuning the general text generation model based on a target training data set associated with the target text generation task to obtain a task-specific text generation model, by taking task indication information for the target task type and first attribute indication information for the first target output text attribute as at least part of an input of the general text generation model.
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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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4.发明申请公开(公告)号：US20180341700A1
公开(公告)日：2018-11-29
申请号：US15942340
申请日：2018-03-30
Inventor： Liangyu CHEN , Xinyan XIAO , Yajuan LV
Abstract: The present disclosure discloses an artificial intelligence based method and apparatus for determining regional information. A specific embodiment of the method comprises: acquiring to-be-determined information, and extracting a keyword set of the to-be-determined information; inputting the keyword set of the to-be-determined information into a pre-trained topic classification model for classifying, to obtain a topic class of the to-be-determined information, wherein the topic classification model is used for representing a corresponding relation between the keyword set of the information and the topic class of the information; selecting, from a pre-stored place name set, a place name corresponding to the topic class of the to-be-determined information as a target place name set; matching, in the to-be-determined information, the target place name set; and determining, based on a matching result, whether the to-be-determined information belongs to the regional information.
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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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Patent Agency Ranking
公开(公告)号：US20210200951A1
公开(公告)日：2021-07-01
申请号：US16896465
申请日：2020-06-09
Inventor： Yuan GAO , Dai DAI , Xinyan XIAO
IPC: G06F40/295 , G06F40/242
Abstract: Embodiments of the present disclosure provide methods and apparatus for outputting information. The method may include: obtaining a sentence to be identified; Performing word segmentation on the to be identified sentence to obtain a word sequence; Inputting a word sequence into a pre-trained multi-task element recognition model based on sequence labeling and entity word prediction, and outputting the identified entity words, entity categories and entity word positions, where the multi-task element recognition model includes a sequence labeling network for performing sequence labeling tasks and an entity word predicting network for performing entity word predicting task, and the sequence labeling network is fused with the entity word predicting network through a fusion module.
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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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公开(公告)号：US20210191937A1
公开(公告)日：2021-06-24
申请号：US16940703
申请日：2020-07-28
Inventor： Wei JIA , Dai DAI , Xinyan XIAO
IPC: G06F16/2452 , G06F40/211 , G06F40/284 , G06N20/00 , G06K9/62 , G06F16/28
Abstract: A method and an apparatus for structuring data are related to information processing technologies in the field of natural language processing. By acquiring an unstructured text and inputting the unstructured text into an encoder-decoder model, an output sequence is obtained. The encoder-decoder model is trained using a training text marked with the attribute value of each attribute. A structured representation is generated based on the attributes corresponding to the attribute elements included in the output sequence and the attribute values comprised in the attribute elements.
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公开(公告)号：US20180373787A1
公开(公告)日：2018-12-27
申请号：US15859800
申请日：2018-01-02
Inventor： Chengxiang LIU , Xinyan XIAO
Abstract: A method for recommending a text content based on a concern, a computer device, and a non-transitory computer readable storage medium are provided. The method includes: acquiring a query input by a user, and acquiring a reference text content selected by the user from search results corresponding to the query; generating a term vector of the query according to a term relative to the query in the reference text content; determining the concern of the user from a plurality of reference concerns according to similarities between the term vector of the query and term vectors of the plurality of reference concerns; and recommending the text content matched with the concern to the user.
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公开(公告)号：US20210374359A1
公开(公告)日：2021-12-02
申请号：US17133381
申请日：2020-12-23
Inventor： Wei LI , Xinyan XIAO , Hua WU , Haifeng WANG
Abstract: The disclosure may provide a method for obtaining a document layout, an electronic device, and a storage medium. The method may include: obtaining a plurality of pieces of first sample data; extracting structured information from each of the plurality of pieces of first sample data as target structured information corresponding to each of the plurality of pieces of first sample data; inputting the plurality of pieces of first sample data into an initial text generation model to generate predicted structured information corresponding to each of the plurality of pieces of first sample data; generating a first loss value based on a difference between the predicted structured information corresponding to each of the plurality of pieces of first sample data and the corresponding target structured information; and training a phrase generation ability of the initial text generation model based on the first loss value to generate the text generation model.
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