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公开(公告)号:US20190005948A1
公开(公告)日:2019-01-03
申请号:US15872903
申请日:2018-01-16
Inventor: Yuan GAO , Daren LI , Dai DAI , Qiaoqiao SHE
Abstract: Embodiments of the present disclosure provide a method and a device for managing a dialogue based on artificial intelligence. The method includes the followings. An optimum system action is determined from at least one candidate system action according to a current dialogue status feature, a candidate system action feature and surrounding feedback information of the at least one candidate system action and based on a decision model. Since the current dialogue status corresponding to the current dialogue status feature includes uncertain results of natural language understanding, the at least one candidate system action acquired according to the current dialogue status also includes the uncertain results of natural language understanding.
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公开(公告)号:US20210200951A1
公开(公告)日:2021-07-01
申请号:US16896465
申请日:2020-06-09
Inventor: Yuan GAO , Dai DAI , Xinyan XIAO
IPC: G06F40/295 , G06F40/242
Abstract: Embodiments of the present disclosure provide methods and apparatus for outputting information. The method may include: obtaining a sentence to be identified; Performing word segmentation on the to be identified sentence to obtain a word sequence; Inputting a word sequence into a pre-trained multi-task element recognition model based on sequence labeling and entity word prediction, and outputting the identified entity words, entity categories and entity word positions, where the multi-task element recognition model includes a sequence labeling network for performing sequence labeling tasks and an entity word predicting network for performing entity word predicting task, and the sequence labeling network is fused with the entity word predicting network through a fusion module.
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公开(公告)号:US20200301514A1
公开(公告)日:2020-09-24
申请号:US16791128
申请日:2020-02-14
Inventor: Chen ZHAO , Shaoxiong YANG , Yuan GAO
Abstract: The present disclosure provides a gesture recognition method, a device, an electronic device, and a storage medium. The method includes: sequentially performing a recognition process on each image from a target video using a preset recognition model of palm orientation to determine a probability of containing a palm image in each image and a palm normal vector corresponding to each image; determining a group of target images from the target video based on the probability of containing the palm image in each image; and determining a target gesture corresponding to the target video based on the palm normal vector corresponding to each target image in the group of target images.
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