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公开(公告)号:US20240135102A1
公开(公告)日:2024-04-25
申请号:US18048064
申请日:2022-10-19
发明人: Zhaoqi Wu , Yi Fang Chen , Zhi Wang , Yi Qun Zhang , Yan Du , Li Na Yuan
IPC分类号: G06F40/295 , G06F40/216 , G06N3/04 , G06N3/08
CPC分类号: G06F40/295 , G06F40/216 , G06N3/0445 , G06N3/0454 , G06N3/08
摘要: A method of this disclosure may include performing a named entity recognition on text information related to requirements for a wireframe by a first artificial intelligence (AI) model, so as to extract entities and relations of the entities from the text information. The method may further comprise inputting the extracted entities and relations to a second AI model to generate the wireframe, wherein the second AI model is trained so that a difference between resultant relations of the entities of the generated wireframe and the extracted relations of the entities from the first AI model is decreased.
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公开(公告)号:US20240232533A9
公开(公告)日:2024-07-11
申请号:US18048064
申请日:2022-10-20
发明人: Zhaoqi Wu , Yi Fang Chen , Zhi Wang , Yi Qun Zhang , Yan Du , Li Na Yuan
IPC分类号: G06F40/295 , G06F40/216 , G06N3/04 , G06N3/08
CPC分类号: G06F40/295 , G06F40/216 , G06N3/0445 , G06N3/0454 , G06N3/08
摘要: A method of this disclosure may include performing a named entity recognition on text information related to requirements for a wireframe by a first artificial intelligence (AI) model, so as to extract entities and relations of the entities from the text information. The method may further comprise inputting the extracted entities and relations to a second AI model to generate the wireframe, wherein the second AI model is trained so that a difference between resultant relations of the entities of the generated wireframe and the extracted relations of the entities from the first AI model is decreased.
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