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Patent Agency Ranking
公开(公告)号：US11645300B2
公开(公告)日：2023-05-09
申请号：US17452801
申请日：2021-10-29
Applicant: SAP SE
Inventor： Sudhir Bhojwani , Sudha Lakshman , Quan Zhang , Sandeep Chakravarty , Tu Truong , Fuming Wu , Yue Li , Lin Dong , Richa Namballa
CPC classification number: G06F16/258 , G06F16/2272 , G06F16/2455 , G06F16/288 , G06F16/3335 , G06F40/10
Abstract: Provided is a method and system for normalizing catalog item data to create higher quality search results. In one example, the method may include receiving a record comprising an unstructured description of an object, identifying a type of the object from among a plurality of object types and identifying a predefined attribute of the identified type of object, extracting a value from the unstructured description corresponding to the predefined attribute and modifying the extracted value to generate a normalized attribute value, and storing a structured record of the object in a structured format comprising a plurality of values of a plurality of attributes of the object from the unstructured description including the normalized attribute value for the predefined attribute of the object.
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公开(公告)号：US20230126022A1
公开(公告)日：2023-04-27
申请号：US17507083
申请日：2021-10-21
Applicant: SAP SE
Inventor： Richa Namballa , Jing Wang
Abstract: The present disclosure involves systems, software, and computer implemented methods for automatically identifying table locations and table cell types of located tables. One example method includes receiving a request to detect tables. Features are extracted from an input spreadsheet and provided to a trained table detection model trained to predict whether worksheet cells are table cells or background cells and to a cell classification model that is trained to classify worksheet cells by cell structure type. The table detection model generates binary classifications that indicate whether cells are table cells or background cells. A contour detection process is performed on the binary classifications to generate table location information that describes at least one table boundary in the spreadsheet. The trained cell classification model generates a cell structure type classification for each cell that is included in a table boundary generated by the contour detection process.
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公开(公告)号：US12094232B2
公开(公告)日：2024-09-17
申请号：US17507083
申请日：2021-10-21
Applicant: SAP SE
Inventor： Richa Namballa , Jing Wang
IPC: G06V30/413 , G06F18/214 , G06F18/24 , G06N20/20 , G06T7/70 , G06V10/94 , G06V30/182
CPC classification number: G06V30/413 , G06F18/214 , G06F18/24 , G06N20/20 , G06T7/70 , G06V10/95 , G06V30/182 , G06T2207/20081 , G06T2207/20084 , G06T2207/30176
Abstract: The present disclosure involves systems, software, and computer implemented methods for automatically identifying table locations and table cell types of located tables. One example method includes receiving a request to detect tables. Features are extracted from an input spreadsheet and provided to a trained table detection model trained to predict whether worksheet cells are table cells or background cells and to a cell classification model that is trained to classify worksheet cells by cell structure type. The table detection model generates binary classifications that indicate whether cells are table cells or background cells. A contour detection process is performed on the binary classifications to generate table location information that describes at least one table boundary in the spreadsheet. The trained cell classification model generates a cell structure type classification for each cell that is included in a table boundary generated by the contour detection process.
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公开(公告)号：US11194832B2
公开(公告)日：2021-12-07
申请号：US16129996
申请日：2018-09-13
Applicant: SAP SE
Inventor： Sudhir Bhojwani , Sudha Lakshman , Quan Zhang , Sandeep Chakravarty , Tu Truong , Fuming Wu , Yue Li , Lin Dong , Richa Namballa
Abstract: Provided is a method and system for normalizing catalog item data to create higher quality search results. In one example, the method may include receiving a record comprising an unstructured description of an object, identifying a type of the object from among a plurality of object types and identifying a predefined attribute of the identified type of object, extracting a value from the unstructured description corresponding to the predefined attribute and modifying the extracted value to generate a normalized attribute value, and storing a structured record of the object in a structured format comprising a plurality of values of a plurality of attributes of the object from the unstructured description including the normalized attribute value for the predefined attribute of the object.
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公开(公告)号：US20200089800A1
公开(公告)日：2020-03-19
申请号：US16129996
申请日：2018-09-13
Applicant: SAP SE
Inventor： Sudhir Bhojwani , Sudha Lakshman , Quan Zhang , Sandeep Chakravarty , Tu Truong , Fuming Wu , Yue Li , Lin Dong , Richa Namballa
Abstract: Provided is a method and system for normalizing catalog item data to create higher quality search results. In one example, the method may include receiving a record comprising an unstructured description of an object, identifying a type of the object from among a plurality of object types and identifying a predefined attribute of the identified type of object, extracting a value from the unstructured description corresponding to the predefined attribute and modifying the extracted value to generate a normalized attribute value, and storing a structured record of the object in a structured format comprising a plurality of values of a plurality of attributes of the object from the unstructured description including the normalized attribute value for the predefined attribute of the object.
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