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11.
公开(公告)号:US20190034429A1
公开(公告)日:2019-01-31
申请号:US15663720
申请日:2017-07-29
Applicant: Splunk Inc.
Inventor: Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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公开(公告)号:US11914588B1
公开(公告)日:2024-02-27
申请号:US17943037
申请日:2022-09-12
Applicant: Splunk Inc.
Inventor: Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
IPC: G06F16/2453 , G06N20/00 , G06F16/248 , G06F16/2452 , G06N5/046 , G06N3/08 , G06N5/022 , G06N20/10
CPC classification number: G06F16/24534 , G06F16/248 , G06F16/24522 , G06N3/08 , G06N5/022 , G06N5/046 , G06N20/00 , G06N20/10
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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公开(公告)号:US11461320B2
公开(公告)日:2022-10-04
申请号:US16790554
申请日:2020-02-13
Applicant: Splunk Inc.
Inventor: Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
IPC: G06F16/2453 , G06N20/00 , G06F16/248 , G06F16/2452 , G06N5/04 , G06N3/08 , G06N5/02 , G06N20/10
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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公开(公告)号:US11269872B1
公开(公告)日:2022-03-08
申请号:US16528567
申请日:2019-07-31
Applicant: SPLUNK INC.
Inventor: Yow Han Moo , Dayanand Pochugari , Aungon Nag Radon , Xin Li , Venkat Mamdi , Anand Srinivasabagavathar
IPC: G06F17/00 , G06F16/242 , G06N20/00 , G06F16/248 , G06F16/2457
Abstract: Various embodiments of the present application set forth a computer-implemented method that includes receiving, from a device, a natural-language (NL) request. The method further includes selecting, using the NL request, an intent from a set of intents, wherein the intent is associated with a pre-defined intent template, the pre-defined intent template including a set of property fields that are associated with one or more portions of the NL request. The method also includes determining, based on the NL request, a set of property field values for the set of property fields. The method further includes generating a query to be executed on a field-searchable data source, wherein the query is based on one or more property field values included in the set of property field values. The method also includes receiving, in response to the query, a result that includes a set of event field values. In addition, the method includes causing the device to display at least a portion of the result.
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公开(公告)号:US11120344B2
公开(公告)日:2021-09-14
申请号:US15663725
申请日:2017-07-29
Applicant: Splunk Inc.
Inventor: Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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16.
公开(公告)号:US20200183930A1
公开(公告)日:2020-06-11
申请号:US16790554
申请日:2020-02-13
Applicant: Splunk Inc.
Inventor: Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
IPC: G06F16/2453 , G06F16/2452 , G06F16/248 , G06N20/00 , G06N20/10 , G06N5/02 , G06N3/08 , G06N5/04
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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17.
公开(公告)号:US20190034430A1
公开(公告)日:2019-01-31
申请号:US15663722
申请日:2017-07-29
Applicant: Splunk Inc.
Inventor: Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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