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    DOMAIN-SPECIFIC TEXT LABELLING USING NATURAL LANGUAGE INFERENCE MODEL
    22.
    发明公开
    DOMAIN-SPECIFIC TEXT LABELLING USING NATURAL LANGUAGE INFERENCE MODEL 审中-实审

    公开(公告)号：EP4372606A1

    公开(公告)日：2024-05-22

    申请号：EP23196795.1

    申请日：2023-09-12

    申请人： Fujitsu Limited

    发明人： Chen, Wei-Peng ,  Bahrami, Mehdi ,  Liu, Lei

    IPC分类号： G06F40/30 ,  G06F40/169 ,  G06N3/08

    CPC分类号： G06N3/08 ,  G06F40/30 ,  G06F40/169

    摘要： In an embodiment, a set of texts associated with a domain is received. A set of hypothesis statements associated with the domain is received. A pre-trained natural language inference (NLI) model is applied on each of the received set of texts and on each of the received set of hypothesis statements. A second text corpus associated with the domain is generated. The generated second text corpus corresponds to a set of labels associated with the domain. A few-shot learning model is applied on the generated second text corpus to generate a third text corpus associated with the domain. The generated third text corpus is configured to fine-tune the applied pre-trained NLI model, and the fine-tuned NLI model is configured to label an input text associated with the domain. A display of the labelled input text on a display device is controlled.