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Patent Agency Ranking
公开(公告)号：US10430517B1
公开(公告)日：2019-10-01
申请号：US16113644
申请日：2018-08-27
Applicant: General Electric Company
Inventor： Varish Vyankatesh Mulwad , Ivan Bueno , Vijaya Raghava Mutharaju
Abstract: An apparatus, system and method of providing an artificially intelligent (AI) agent capable of assisting information technology (IT) personnel in addressing an IT ticket. The AI agent may include a visualization interface for display capable of receiving dialog from the IT personnel related to the IT ticket; a translation module capable of translating the received dialog to at least one machine language translation; a solutions module capable of receiving the machine language translation, comparing the machine language to a plurality of prospective solutions for IT issues, and selecting a subset of the plurality of prospective solutions deemed most relevant to the IT ticket and returning that subset to the visualization interface; and a feedback module capable of receiving explicit and implied feedback from the IT personal regarding the machine language translation and the selected subset, wherein the selecting of the subset varies upon subsequent received dialog according to the feedback.
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公开(公告)号：US10146859B2
公开(公告)日：2018-12-04
申请号：US15153788
申请日：2016-05-13
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Luis Babaji Ng Tari , Varish Vyankatesh Mulwad
IPC: G06F17/30 , G06F3/0484 , G06F17/27
Abstract: According to one embodiment, a method for text analysis is provided. The method includes recognizing a concept. Recognizing a concept includes receiving a stream of text including a plurality of entities, and extracting at least one concept from the plurality of entities. The method also includes disambiguating the at least one extracted concept. Disambiguating the at least one extracted concept includes receiving the at least one extracted concept, and generating at least one disambiguated concept corresponding to the at least one extracted concept.
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公开(公告)号：US10606953B2
公开(公告)日：2020-03-31
申请号：US15836064
申请日：2017-12-08
Applicant: General Electric Company
Inventor： Varish Vyankatesh Mulwad , Kareem Sherif Aggour
Abstract: According to some embodiments, a system and method are provided to extract relationships from unstructured text documents. The method comprises receiving a training set of sentences that comprise labeled objects and subjects for creating an initial relationship model. A set of unlabeled sentences may be received. Objects and subjects from the set of unlabeled sentences are determined based on the initial model and the determined objects and subjects from the set of unlabeled sentences are displayed to a user for feedback and approval. An indication of whether the determined objects and subjects from the set of unlabeled sentences are correct is received and the initial relationship model is updated based on the received indication.
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公开(公告)号：US20180129959A1
公开(公告)日：2018-05-10
申请号：US15347844
申请日：2016-11-10
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Steven Matt Gustafson , Kareem Sherif Aggour , Alfredo Gabaldon Royval , Varish Vyankatesh Mulwad
Abstract: Examples relate to systems for authoring and executing predictive models. A computer system includes a model development context analyzer configured to store a set of derived modeling knowledge generated at least in part from a plurality of modeling operations performed using at least a first predictive model authoring tool. The system is configured to, receive a modeling context indicating at least a modeling operation being performed, determine, from the modeling context, at least one element of an ontology, the ontology defining at least one attribute of a plurality of modeling operations, query the set of derived modeling knowledge using the at least one element of the ontology to identify at least one record of the set of derived modeling knowledge associated with the at least one element of the ontology, identify at least one suggested model parameter associated with the modeling context, and provide the at least one suggested model parameter.
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公开(公告)号：US20170329842A1
公开(公告)日：2017-11-16
申请号：US15153788
申请日：2016-05-13
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Luis Babaji Ng Tari , Varish Vyankatesh Mulwad
IPC: G06F17/30 , G06F3/0484
CPC classification number: G06F17/30684 , G06F3/04842 , G06F17/278
Abstract: According to one embodiment, a method for text analysis is provided. The method includes recognizing a concept. Recognizing a concept includes receiving a stream of text including a plurality of entities, and extracting at least one concept from the plurality of entities. The method also includes disambiguating the at least one extracted concept. Disambiguating the at least one extracted concept includes receiving the at least one extracted concept, and generating at least one disambiguated concept corresponding to the at least one extracted concept.
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