Method for generating question answering robot and computer device

    公开(公告)号:US11321370B2

    公开(公告)日:2022-05-03

    申请号:US17031502

    申请日:2020-09-24

    Abstract: The present disclosure discloses a method for generating a question answering robot, relates to the field of robotics. The specific implementation includes: obtaining field information input by a user, obtaining a field-specific robot from a robot library based on the field information; obtaining a template list corresponding to the field-specific robot, providing the template list to the user, the template list including a plurality of templates; receiving the plurality of templates filled in by the user, the templates filled in by the user including at least one question and an answer corresponding to the at least one question; expanding the at least one question filled in by the user based on a question semantic database to form a combination of questions corresponding to the answer, the answer and the combination of questions forming a question-answer pair; and generating a question answering robot based on the question-answer pair.

    Synonymy tag obtaining method and apparatus, device and computer readable storage medium

    公开(公告)号:US10769372B2

    公开(公告)日:2020-09-08

    申请号:US16110449

    申请日:2018-08-23

    Abstract: The present disclosure provides a synonym tag obtaining method and apparatus, a device, and a computer readable storage medium. By obtaining the central morpheme of the tag to be recognized and then obtaining the tag template of the tag to be recognized according to the tag to be recognized and the central morpheme of the tag to be recognized, to obtain the synonymy tag of the tag to be recognized according to the tag template, and the central morpheme of the tag to be recognized and at least one cluster of synonymy tag templates, it is possible to avoid the technical problem about reduction of the coverage rate of the synonymy tags caused by data sparsity of the mining resources and thereby improve the reliability of obtaining synonymy tags, without depending on mining resources such as a click log having a paraphrase relationship or data having bilingual parallel alignment corpus.

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