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公开(公告)号:US20210117504A1
公开(公告)日:2021-04-22
申请号:US16656255
申请日:2019-10-17
申请人: SAP SE
发明人: Nishant Kumar , Panish Ramakrishna , Kumaraswamy Gowda , Rajendra Vuppala , Vidhya Neelakantan , Erica Vandenhoek , Nithya Rajagopalan
IPC分类号: G06F17/27 , G06F3/0481 , G06N20/00 , G06N5/04
摘要: User-generated input is received that includes a sequence of words associated with initiation of a computer-implemented event. Thereafter, such input is parsed using at least one natural language processing (NLP) model. This parsed input is then used by a machine learning model to determine a suggested template having a plurality of fields for initiating the event. The template can then be presented in a graphical user interface. Related apparatus, systems, techniques and articles are also described.
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公开(公告)号:US11687549B2
公开(公告)日:2023-06-27
申请号:US17505789
申请日:2021-10-20
申请人: SAP SE
发明人: Kumaraswamy Gowda , Nithya Rajagopalan , Nishant Kumar , Panish Ramakrishna , Rajendra Vuppala , Erica Vandenhoek
IPC分类号: G06F16/25 , G06F40/295 , G06F40/177 , G06F40/49 , G06F18/2415
CPC分类号: G06F16/258 , G06F18/24155 , G06F40/177 , G06F40/295 , G06F40/49
摘要: The present disclosure involves systems, software, and computer implemented methods for creating line item information from tabular data. One example method includes receiving event data values at a system. Column headers of columns in the event data values are identified. At least one column header is not included in standard line item terms used by the system. Column values of the columns in the event data values are identified. The identified column headers and the identified column values are processed using one or more models to map each column to a standard line item term used by the system. The processing includes using context determination and content recognition to identify standard line item terms. An event is created in the system, including the creation of line items from the identified column value. Each line item includes standard line item terms mapped to the columns.
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公开(公告)号:US11176324B2
公开(公告)日:2021-11-16
申请号:US16584420
申请日:2019-09-26
申请人: SAP SE
发明人: Kumaraswamy Gowda , Nithya Rajagopalan , Nishant Kumar , Panish Ramakrishna , Rajendra Vuppala , Erica Vandenhoek
IPC分类号: G06F40/295 , G06F40/177 , G06F40/49 , G06K9/62
摘要: The present disclosure involves systems, software, and computer implemented methods for creating line item information from tabular data. One example method includes receiving event data values at a system. Column headers of columns in the event data values are identified. At least one column header is not included in standard line item terms used by the system. Column values of the columns in the event data values are identified. The identified column headers and the identified column values are processed using one or more models to map each column to a standard line item term used by the system. The processing includes using context determination and content recognition to identify standard line item terms. An event is created in the system, including the creation of line items from the identified column value. Each line item includes standard line item terms mapped to the columns.
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公开(公告)号:US11556553B2
公开(公告)日:2023-01-17
申请号:US17108915
申请日:2020-12-01
申请人: SAP SE
IPC分类号: G06F7/00 , G06F16/2458 , G06F16/242 , G06F40/30 , G06N20/00 , G06K9/62 , G06F16/28
摘要: Data is received that specifies a term generated by user input in a graphical user interface. Thereafter, the term is looked up in a dictionary in which there are multiple classes for terms. The term can be classified based on a first class having a top ranked effective count for the term within the dictionary when a ratio of the first class relative to a second class having a second ranked effective count for the term in the dictionary is above a pre-defined threshold. In addition, the term is classified using a machine learning model when the ratio of the first class relative to the second class is below the pre-defined threshold. Data can be provided which characterizes the classifying. Related apparatus, systems, techniques and articles are also described.
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公开(公告)号:US20220171777A1
公开(公告)日:2022-06-02
申请号:US17108915
申请日:2020-12-01
申请人: SAP SE
IPC分类号: G06F16/2458 , G06F16/242 , G06F16/28 , G06N20/00 , G06K9/62 , G06F40/30
摘要: Data is received that specifies a term generated by user input in a graphical user interface. Thereafter, the term is looked up in a dictionary in which there are multiple classes for terms. The term can be classified based on a first class having a top ranked effective count for the term within the dictionary when a ratio of the first class relative to a second class having a second ranked effective count for the term in the dictionary is above a pre-defined threshold. In addition, the term is classified using a machine learning model when the ratio of the first class relative to the second class is below the pre-defined threshold. Data can be provided which characterizes the classifying. Related apparatus, systems, techniques and articles are also described.
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公开(公告)号:US20210097139A1
公开(公告)日:2021-04-01
申请号:US16584420
申请日:2019-09-26
申请人: SAP SE
发明人: Kumaraswamy Gowda , Nithya Rajagopalan , Nishant Kumar , Panish Ramakrishna , Rajendra Vuppala , Erica Vandenhoek
摘要: The present disclosure involves systems, software, and computer implemented methods for creating line item information from tabular data. One example method includes receiving event data values at a system. Column headers of columns in the event data values are identified. At least one column header is not included in standard line item terms used by the system. Column values of the columns in the event data values are identified. The identified column headers and the identified column values are processed using one or more models to map each column to a standard line item term used by the system. The processing includes using context determination and content recognition to identify standard line item terms. An event is created in the system, including the creation of line items from the identified column value. Each line item includes standard line item terms mapped to the columns.
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公开(公告)号:US10963636B1
公开(公告)日:2021-03-30
申请号:US16656255
申请日:2019-10-17
申请人: SAP SE
发明人: Nishant Kumar , Panish Ramakrishna , Kumaraswamy Gowda , Rajendra Vuppala , Vidhya Neelakantan , Erica Vandenhoek , Nithya Rajagopalan
IPC分类号: G06F40/205 , G06N20/00
摘要: User-generated input is received that includes a sequence of words associated with initiation of a computer-implemented event. Thereafter, such input is parsed using at least one natural language processing (NLP) model. This parsed input is then used by a machine learning model to determine a suggested template having a plurality of fields for initiating the event. The template can then be presented in a graphical user interface. Related apparatus, systems, techniques and articles are also described.
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公开(公告)号:US11443113B2
公开(公告)日:2022-09-13
申请号:US17207521
申请日:2021-03-19
申请人: SAP SE
发明人: Nishant Kumar , Panish Ramakrishna , Kumaraswamy Gowda , Rajendra Vuppala , Vidhya Neelakantan , Erica Vandenhoek , Nithya Rajagopalan
IPC分类号: G06F40/205 , G06N20/00 , G06F3/0481 , G06N5/04 , G06F40/174 , G06F40/186
摘要: User-generated input is received that includes a sequence of words associated with initiation of a computer-implemented event. Thereafter, such input is parsed using at least one natural language processing (NLP) model. This parsed input is then used by a machine learning model to determine a suggested template having a plurality of fields for initiating the event. The template can then be presented in a graphical user interface. Related apparatus, systems, techniques and articles are also described.
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公开(公告)号:US20210209300A1
公开(公告)日:2021-07-08
申请号:US17207521
申请日:2021-03-19
申请人: SAP SE
发明人: Nishant Kumar , Panish Ramakrishna , Kumaraswamy Gowda , Rajendra Vuppala , Vidhya Neelakantan , Erica Vandenhoek , Nithya Rajagopalan
IPC分类号: G06F40/205 , G06N20/00
摘要: User-generated input is received that includes a sequence of words associated with initiation of a computer-implemented event. Thereafter, such input is parsed using at least one natural language processing (NLP) model. This parsed input is then used by a machine learning model to determine a suggested template having a plurality of fields for initiating the event. The template can then be presented in a graphical user interface. Related apparatus, systems, techniques and articles are also described.
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