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公开(公告)号：US20170213139A1
公开(公告)日：2017-07-27
申请号：US15411469
申请日：2017-01-20
Applicant: Accenture Global Solutions Limited
Inventor： Nitin Madhukar SAWANT , Rajendra T. Prasad , Bhavin Mehta , Jayant Swamy , Gopali Raval Contractor , Manish Vijaywargiya
Abstract: A device may receive issue resolution information, associated with a cognitive model, including an item of issue resolution information that describes an issue and a resolution to the issue. The device may assign the item of issue resolution information to a domain hierarchy, where the assigning is associated with a first user. The device may generate a question and an answer corresponding to the item of issue resolution information, where the generating of the question and the answer is associated with a second user. The device may approve the question and the answer, where the approving is associated with a third user. The device may generate a question/answer (QA) pair for the question and the answer. The device may create a data corpus including the QA pair, and provide the data corpus to cause the cognitive model to be trained based on the data corpus.
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公开(公告)号：US11144839B2
公开(公告)日：2021-10-12
申请号：US15411469
申请日：2017-01-20
Applicant: Accenture Global Solutions Limited
Inventor： Nitin Madhukar Sawant , Rajendra T. Prasad , Bhavin Mehta , Jayant Swamy , Gopali Raval Contractor , Manish Vijaywargiya
Abstract: A device may receive issue resolution information, associated with a cognitive model, including an item of issue resolution information that describes an issue and a resolution to the issue. The device may assign the item of issue resolution information to a domain hierarchy, where the assigning is associated with a first user. The device may generate a question and an answer corresponding to the item of issue resolution information, where the generating of the question and the answer is associated with a second user. The device may approve the question and the answer, where the approving is associated with a third user. The device may generate a question/answer (QA) pair for the question and the answer. The device may create a data corpus including the QA pair, and provide the data corpus to cause the cognitive model to be trained based on the data corpus.
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公开(公告)号：US10719736B1
公开(公告)日：2020-07-21
申请号：US16372888
申请日：2019-04-02
Applicant: Accenture Global Solutions Limited
Inventor： Bhavin Mehta , Mohan Sekhar , Jayant Swamy , Raghavan Iyer , Suja Jain , Juhi A Gupta , Chandrashekhar Arun Deshpande , Abigail Hart , Sriram Lakshminarasimhan , Achal Srivastava , Sadanand Padmawar
IPC: G06F9/44 , G06K9/62 , G06F8/20 , G06F16/23 , G06F8/10 , G06N20/00 , G06F16/25 , G06F40/30 , G06F40/20 , G06F16/22 , G06F40/289
Abstract: A device may receive a feature submission identifying a candidate feature for a software application. The device may pre-process the feature submission to reformat data associated with the candidate feature to match a data format associated with stored information regarding past feature submissions. The device may perform natural language processing on the data associated with the candidate feature to determine a semantic meaning of the candidate feature. The device may compare the semantic meaning of the candidate feature with an index of past feature submissions. The device may provide a response indicating whether the candidate feature matches the past feature submissions wherein the response comprises an indication that the candidate feature does not match any past feature submission or information identifying one or more past feature submissions associated with a threshold semantic similarity to the candidate feature.
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