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1.
公开(公告)号:US20200312298A1
公开(公告)日:2020-10-01
申请号:US16366904
申请日:2019-03-27
Applicant: Adobe Inc.
Inventor: Trung Bui , Zahra Rahimi , Yinglan Ma , Seokhwan Kim , Franck Dernoncourt
IPC: G10L15/06 , G06F3/16 , G06F3/0482 , G06F3/0484 , G06F17/24 , G10L15/22 , G10L15/18 , G06N20/00
Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that generate ground truth annotations of target utterances in digital image editing dialogues in order to create a state-driven training data set. In particular, in one or more embodiments, the disclosed systems utilize machine and user defined tags, machine learning model predictions, and user input to generate a ground truth annotation that includes frame information in addition to intent, attribute, object, and/or location information. In at least one embodiment, the disclosed systems generate ground truth annotations in conformance with an annotation ontology that results in fast and accurate digital image editing dialogue annotation.
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公开(公告)号:US11100917B2
公开(公告)日:2021-08-24
申请号:US16366904
申请日:2019-03-27
Applicant: Adobe Inc.
Inventor: Trung Bui , Zahra Rahimi , Yinglan Ma , Seokhwan Kim , Franck Dernoncourt
IPC: G10L15/06 , G06F3/16 , G06F3/0482 , G06N20/00 , G10L15/22 , G10L15/18 , G06F3/0484 , G06F40/169
Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that generate ground truth annotations of target utterances in digital image editing dialogues in order to create a state-driven training data set. In particular, in one or more embodiments, the disclosed systems utilize machine and user defined tags, machine learning model predictions, and user input to generate a ground truth annotation that includes frame information in addition to intent, attribute, object, and/or location information. In at least one embodiment, the disclosed systems generate ground truth annotations in conformance with an annotation ontology that results in fast and accurate digital image editing dialogue annotation.
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