CONVERSATION INTENTION REAL-TIME ANALYSIS METHOD

    公开(公告)号:US20230351117A1

    公开(公告)日:2023-11-02

    申请号:US17925732

    申请日:2020-06-25

    CPC classification number: G06F40/35 G06F16/3329 G06Q10/0633

    Abstract: A conversation intention real-time analysis method is provided. The conversation intention real-time analysis method includes the steps of: determining, by a natural language conversation understanding unit, conversation information regarding a response and a response policy depending on whether a refined sentence refined by a natural language conversation preprocessing unit for determining a question to be answered by analyzing a sentence; outputting, a conversation context, and extracting a response; collecting, by a situation information collection unit, situation information by standardizing a field situation, user information, business information, and domain information; detecting, by a field-directed type response management unit, a refined response according to situation information generated by the situation information collection unit from among the conversation information; and transmitting, by a response providing unit, a final response to a portable device by detecting the final response from the refined response detected by the field-directed type response management unit.

    APPARATUS AND METHOD FOR AUTOMATICALLY GENERATING IMAGE CAPTION

    公开(公告)号:US20230177854A1

    公开(公告)日:2023-06-08

    申请号:US17925354

    申请日:2020-06-16

    Abstract: apparatus and method for automatically generating an image caption is provided capable of giving an explanation by using Bayesian inference and an image area-word mapping module on the basis of a deep learning algorithm. An apparatus for automatically generating an image caption, according to one embodiment of the present invention, includes: an automatic caption generation module for creating a caption by applying a deep learning algorithm to an image received from a client; a caption basis generation module for creating a basis for the caption by mapping a partial area in the image received from the client with respect to important words in the caption received from the automatic caption generation module; and a visualization module for visualizing the caption received from the automatic caption generation module and the basis for the caption received from the caption basis generation module to return same to the client.

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