Interactive method and apparatus based on test-type application

    公开(公告)号:US11157699B2

    公开(公告)日:2021-10-26

    申请号:US15926019

    申请日:2018-03-20

    Abstract: The present disclosure provides an interactive method and apparatus based on a test-type application, The method includes: obtaining a pre-established knowledge graph including non-leaf nodes indicating test questions, lines indicating test answers and leaf nodes indicating test results; selecting an interactive question for the current round from the test questions indicated by the non-leaf nodes and displaying the interactive question in the dialog box; when a user inputs an interactive answer with respect to the interactive question in the dialog box, querying a matched target line in the lines connected to the non-leaf node corresponding to the interactive question for the current round according to the interactive answer of the current round, to determine the target node connected to the non-leaf node through the target line; and displaying a test result or a test question for the next round in the dialog box according to the target node.

    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.

    CONVERSATION PROCESSING METHOD AND APPARATUS BASED ON ARTIFICIAL INTELLIGENCE, DEVICE AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20180357571A1

    公开(公告)日:2018-12-13

    申请号:US16006213

    申请日:2018-06-12

    CPC classification number: G06N99/005 G06F7/14 G06F17/2785

    Abstract: A conversation processing method and apparatus based on artificial intelligence, a device and a computer-readable storage medium. The disclosure embodiments, enable the user feedback information provided by conversation service conducted by the user to model conversation understanding system, then according to the user feedback information, perform adjustment processing for a service state of the model conversation understanding system, to obtain an adjustment state of the model conversation understanding system so that it is possible to execute the conversation service with the model conversation understanding system, based on the adjustment state. Since a fault-tolerant and fault-correcting mechanism is provided, it is possible to adjust the understanding capability of the model conversation understanding system in real time and thereby effectively improve the reliability of conversation by collecting the user's user feedback information, and then adjusting the service state of the model conversation understanding system in time based on the user feedback information.

    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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