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公开(公告)号：US10824663B2
公开(公告)日：2020-11-03
申请号：US15922619
申请日：2018-03-15
发明人： Freddy Lecue , Md Faisal Zaman
IPC分类号： G06F17/00 , G06F16/36 , G16H70/40 , G06F16/335
摘要： According to an example, with respect to adverse information based ontology reinforcement, adverse information related to a product or a process may be ascertained and analyzed to further identify and ascertain a relevant ontology of a plurality of ontologies. A determination may be made as to whether the adverse information is present in the ascertained ontology, and if not, the adverse information may be integrated into the ascertained ontology to generate an updated ontology. Similar existing information corresponding to the ascertained adverse information may be identified in the updated ontology to determine an inconsistency between the identified similar existing information and the ascertained adverse information. The determined inconsistency may be used to modify the updated ontology to generate a reinforced ontology.
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公开(公告)号：US10699708B2
公开(公告)日：2020-06-30
申请号：US15961393
申请日：2018-04-24
IPC分类号： G10L15/22 , G10L25/63 , G10L15/18 , G06F16/901
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a conversation monitoring system. In one aspect, a method includes receiving a conversation stream generated from a conversation between a user of a platform and a current robotic agent, where the current robotic agent is one of a plurality of robotic agents servicing the platform; processing the conversation stream to identify characteristics of the conversation; extracting a conversation knowledge graph that includes a plurality of first nodes that each correspond a concept discussed in the conversation; identifying a state change in the conversation from the identified characteristics of the conversation; merging the conversation knowledge graph with a domain knowledge graph into a merged knowledge graph; and replacing the current robotic agent with a replacement robotic agent from the robotic agents, the replacement robotic agent selected based on the percentage matching value of the merged knowledge graph.
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公开(公告)号：US10346491B2
公开(公告)日：2019-07-09
申请号：US15170030
申请日：2016-06-01
发明人： Freddy Lecue , Caroline Brazil , Dadong Wan
IPC分类号： G06F17/30 , G06F16/9535 , G06F16/248 , G06F16/2457 , G06F16/93 , G06F16/34
摘要： Implementations are directed to providing an exemplar electronic document (EED) with actions including receiving input that is at least partially representative of a subject, receiving a plurality of stored subjects, each including data representative of a respective stored subject, and provided in a knowledge graph, processing the input based on semantic comparison between the input and each of the stored subjects to provide a set of semantic differences, each semantic difference representing the input and a respective stored subject, processing a profile in view of each of a plurality of other profiles to provide a set of semantic correlations, each semantic correlation representing the profile and a respective other profile, and providing the EED based on the sets of semantic differences and semantic correlations, the EED including at least a portion of the input, and respective portions of each of a plurality of stored subjects based on respective scores.
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公开(公告)号：US10311404B1
公开(公告)日：2019-06-04
申请号：US15863743
申请日：2018-01-05
摘要： According to an example, with respect to software product development defect and issue prediction and diagnosis, worker profile information and worker state information for a plurality of workers involved in development of a product may be ascertained. A general worker signature that includes a plurality of clusters for all of the plurality of workers may be generated. For each of the plurality of workers, an individual worker signature vector that represents at least one cluster of the plurality of clusters that an individual worker is aligned to may be generated. A product signature vector may be generated based on product state information. Further, an output that includes an explanation for a defect associated with the development of the product may be generated based on a neural network model based analysis of the individual worker signature vectors and the product signature vector over a temporal dimension.
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公开(公告)号：US20190065987A1
公开(公告)日：2019-02-28
申请号：US15689988
申请日：2017-08-29
发明人： Freddy Lecue , Jiewen Wu , Sara van de Moosdijk
摘要： Implementations are directed to receiving a first plurality of data sets associated with one or more of a process and a device, data values in the plurality of data sets being recorded by sensors in a set of sensors, receiving a first predictive model for the first plurality of data sets, for each data value in the first plurality of data sets, determining a knowledge score for the predictive model based on weights assigned to a plurality of concepts associated with a domain ontology for a domain of the one or more of the process and the device, comparing the knowledge score for each data value in the first plurality of data sets to a threshold knowledge score to provide a comparison, and in response to the comparison, selectively amending concepts in the first predictive model to provide a second predictive model.
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公开(公告)号：US11526849B2
公开(公告)日：2022-12-13
申请号：US16376675
申请日：2019-04-05
摘要： A device may determine an association between a second set of parameters and a third set of parameters using a pseudoinversion network and a multiple regression procedure. The device may determine semantic embeddings based on a set of semantic descriptions of the second set of parameters. The device may determine a semantic similarity between parameters of the second set of parameters based on the semantic embeddings. The device may determine a consistency error based on the semantic similarity. The device may generate, using a regression-based learning model technique, a matrix representing an association between the second set of parameters and the third set of parameters based on the association and the consistency error. The device may perform an action based on the matrix.
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公开(公告)号：US11126919B2
公开(公告)日：2021-09-21
申请号：US16117181
申请日：2018-08-30
IPC分类号： G06N5/04 , G06N3/00 , G06F16/901
摘要： Implementations include providing, by the PKG platform, an initial knowledge graph based on user-specific data associated with a user, and a domain-specific knowledge graph, receiving, by the PKG platform, data representative of at least one answer provided from the user to a respective question, providing, by the PKG platform, an expanded knowledge graph based on the initial knowledge graph, the expanded knowledge graph including one or more nodes and respective edges based on the data, generating, by the PKG platform, a weighted knowledge graph based a groundtruth knowledge graph, and a targeted knowledge graph, the groundtruth knowledge graph including one or more true answers, and the targeted knowledge graph including the at least one answer provided from the user, and generating, by the PKG platform, the hyper-personalized knowledge graph (hpKG) based on the weighted knowledge graph, the hpKG being unique to the user within a domain.
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公开(公告)号：US10824647B2
公开(公告)日：2020-11-03
申请号：US15816774
申请日：2017-11-17
IPC分类号： G06F17/00 , G06F16/28 , G06F16/901 , G06F16/2457 , G06Q10/04
摘要： Implementations are directed to providing a semantic sequence based on a sequence associated with the event, and context data provided from a knowledge graph, receiving a set of cases associated with at least one entity included in the event, the set of cases including previous instances of events, and actions performed to resolve the previous instances of events, defining a sub-set of cases from the set of cases based on the context data, for each case of the sub-set of cases, determining a similarity score, each similarity score representing a degree of similarity between the event, and a case of the sub-set of cases, determining an explanation based on features of cases in the sub-set of cases based on the context data, and providing one or more actions based on actions of cases in the sub-set of cases.
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公开(公告)号：US20190325868A1
公开(公告)日：2019-10-24
申请号：US15961393
申请日：2018-04-24
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a conversation monitoring system. In one aspect, a method includes receiving a conversation stream generated from a conversation between a user of a platform and a current robotic agent, where the current robotic agent is one of a plurality of robotic agents servicing the platform; processing the conversation stream to identify characteristics of the conversation; extracting a conversation knowledge graph that includes a plurality of first nodes that each correspond a concept discussed in the conversation; identifying a state change in the conversation from the identified characteristics of the conversation; merging the conversation knowledge graph with a domain knowledge graph into a merged knowledge graph; and replacing the current robotic agent with a replacement robotic agent from the robotic agents, the replacement robotic agent selected based on the percentage matching value of the merged knowledge graph.
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公开(公告)号：US10417502B2
公开(公告)日：2019-09-17
申请号：US15844149
申请日：2017-12-15
摘要： Implementations are directed to receiving a multi-dimensional data set including, for each device in a set of devices of a monitoring system, a feature set over a respective time period and over devices in the set of devices, processing multi-dimensional data to identify sets of features recorded by respective devices in the set of devices of the monitoring system, comparing a feature set of a first device relative to a feature set of a second device in a location dimension to determine that a first feature in the feature set of the first device corresponds to a second feature in the feature set of the second device, and providing a sequence of feature sets by selecting appropriate feature sets from the multi-dimensional data set based on the comparison, the sequence providing an order of progress of an object between the feature sets of the set of devices.
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