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公开(公告)号：US12282738B2
公开(公告)日：2025-04-22
申请号：US17735525
申请日：2022-05-03
Applicant: SAP SE
Inventor： Lei Xu , Deng Feng Wan
IPC: G06F40/00 , G06F40/166 , G06F40/279 , G06Q10/0631
Abstract: Various examples are directed to systems and methods for characterizing natural language text units. A plurality of text units may be used to train a bidirectional model. A bidirectional model may be applied to a set of annotated text units to generate a plurality of span context vectors. The plurality of span context vectors may be used to train a span prediction model. The span prediction model may be applied to at least a portion of the plurality of text units to generate a plurality of span characterizations, a first span characterization corresponding to a first span indicating that the first span describes a first job skill.
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公开(公告)号：US20230368509A1
公开(公告)日：2023-11-16
申请号：US17740479
申请日：2022-05-10
Applicant: SAP SE
Inventor： Lei Xu , Deng Feng Wan
CPC classification number: G06V10/806 , G06N20/20 , G06V10/761 , G06V10/82 , G06F40/20
Abstract: Methods, systems, and computer-readable storage media for a multimodal machine learning image and text combined search method. One example method includes processing items that each have an associated image and a textual description. A first image feature vector is generated by processing a first image using a first machine learning model. A first textual feature vector is generated by processing a first textual description using a second machine learning model. The first image feature vector and the first textual feature vector are combined to generate a first combined feature vector for a first item. Similarity lists of similar items are generated for the first item based on similarities between the first image feature vector, the first text feature vector, the first combined feature vector and respective corresponding vectors of other items. The similarity lists for the first item are combined to generate a combined similarity list for the first item.
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公开(公告)号：US20230359820A1
公开(公告)日：2023-11-09
申请号：US17735525
申请日：2022-05-03
Applicant: SAP SE
Inventor： Lei Xu , Deng Feng Wan
IPC: G06F40/279 , G06F40/166 , G06Q10/06
CPC classification number: G06F40/279 , G06F40/166 , G06Q10/063112
Abstract: Various examples are directed to systems and methods for characterizing natural language text units. A plurality of text units may be used to train a bidirectional model. A bidirectional model may be applied to a set of annotated text units to generate a plurality of span context vectors. The plurality of span context vectors may be used to train a span prediction model. The span prediction model may be applied to at least a portion of the plurality of text units to generate a plurality of span characterizations, a first span characterization corresponding to a first span indicating that the first span describes a first job skill.
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公开(公告)号：US12223699B2
公开(公告)日：2025-02-11
申请号：US17740479
申请日：2022-05-10
Applicant: SAP SE
Inventor： Lei Xu , Deng Feng Wan
Abstract: Methods, systems, and computer-readable storage media for a multimodal machine learning image and text combined search method. One example method includes processing items that each have an associated image and a textual description. A first image feature vector is generated by processing a first image using a first machine learning model. A first textual feature vector is generated by processing a first textual description using a second machine learning model. The first image feature vector and the first textual feature vector are combined to generate a first combined feature vector for a first item. Similarity lists of similar items are generated for the first item based on similarities between the first image feature vector, the first text feature vector, the first combined feature vector and respective corresponding vectors of other items. The similarity lists for the first item are combined to generate a combined similarity list for the first item.
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