Patents by Inventor Kumaraswamy Gowda
Kumaraswamy Gowda has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11687549Abstract: 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.Type: GrantFiled: October 20, 2021Date of Patent: June 27, 2023Assignee: SAP SEInventors: Kumaraswamy Gowda, Nithya Rajagopalan, Nishant Kumar, Panish Ramakrishna, Rajendra Vuppala, Erica Vandenhoek
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Patent number: 11556553Abstract: 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.Type: GrantFiled: December 1, 2020Date of Patent: January 17, 2023Assignee: SAP SEInventors: Kumaraswamy Gowda, Nithya Rajagopalan, Nishant Kumar, Panish Ramakrishna
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Patent number: 11443113Abstract: 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.Type: GrantFiled: March 19, 2021Date of Patent: September 13, 2022Assignee: SAP SEInventors: Nishant Kumar, Panish Ramakrishna, Kumaraswamy Gowda, Rajendra Vuppala, Vidhya Neelakantan, Erica Vandenhoek, Nithya Rajagopalan
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Publication number: 20220171777Abstract: 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.Type: ApplicationFiled: December 1, 2020Publication date: June 2, 2022Inventors: Kumaraswamy Gowda, Nithya Rajagopalan, Nishant Kumar, Panish Ramakrishna
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Publication number: 20220043979Abstract: 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.Type: ApplicationFiled: October 20, 2021Publication date: February 10, 2022Inventors: Kumaraswamy Gowda, Nithya Rajagopalan, Nishant Kumar, Panish Ramakrishna, Rajendra Vuppala, Erica Vandenhoek
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Patent number: 11176324Abstract: 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.Type: GrantFiled: September 26, 2019Date of Patent: November 16, 2021Assignee: SAP SEInventors: Kumaraswamy Gowda, Nithya Rajagopalan, Nishant Kumar, Panish Ramakrishna, Rajendra Vuppala, Erica Vandenhoek
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Publication number: 20210209300Abstract: 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.Type: ApplicationFiled: March 19, 2021Publication date: July 8, 2021Applicant: SAP SEInventors: Nishant Kumar, Panish Ramakrishna, Kumaraswamy Gowda, Rajendra Vuppala, Vidhya Neelakantan, Erica Vandenhoek, Nithya Rajagopalan
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Publication number: 20210117504Abstract: 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.Type: ApplicationFiled: October 17, 2019Publication date: April 22, 2021Inventors: Nishant Kumar, Panish Ramakrishna, Kumaraswamy Gowda, Rajendra Vuppala, Vidhya Neelakantan, Erica Vandenhoek, Nithya Rajagopalan
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Publication number: 20210097139Abstract: 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.Type: ApplicationFiled: September 26, 2019Publication date: April 1, 2021Inventors: Kumaraswamy Gowda, Nithya Rajagopalan, Nishant Kumar, Panish Ramakrishna, Rajendra Vuppala, Erica Vandenhoek
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Patent number: 10963636Abstract: 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.Type: GrantFiled: October 17, 2019Date of Patent: March 30, 2021Assignee: SAP SEInventors: Nishant Kumar, Panish Ramakrishna, Kumaraswamy Gowda, Rajendra Vuppala, Vidhya Neelakantan, Erica Vandenhoek, Nithya Rajagopalan