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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:US20210182491A1
公开(公告)日:2021-06-17
申请号:US16890685
申请日:2020-06-02
Inventor: Moye CHEN , Wei XU , Jiachen LIU , Xinyan XIAO , Qiaoqiao SHE
IPC: G06F40/289
Abstract: Embodiments of the application disclose a summary generation method and apparatus. A specific embodiment of the method comprises: acquiring a target article including a headline and a body of the article; determining whether a question is included in the headline; determining, in the body of the article, an information-satisfied-paragraph including an answer to the question, in response to determining that the question is included in the headline; and generating a summary of the target article based on the determined information-satisfied-paragraph. The above embodiment may generate a summary that directly satisfies the users' demand for information.
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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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