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公开(公告)号：US10909473B2
公开(公告)日：2021-02-02
申请号：US15865640
申请日：2018-01-09
摘要： A method of identifying location data in a data set comprises generating a data sample from the data set, training a plurality of models with the data sample to identify the location data in the data set, and applying the data set to the trained models to determine the location data within the data set. The plurality of models includes one or more first models to identify primary attributes of the location data indicating a geographical area and one or more second models to identify secondary attributes of the location data used to determine corresponding primary attributes.
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公开(公告)号：US10572526B2
公开(公告)日：2020-02-25
申请号：US16456549
申请日：2019-06-28
摘要： Relationship extraction between descriptors in one or more lists of weather condition descriptors, and adverse event descriptors within unstructured data sources using natural language processing. Medical condition descriptor may be a descriptor that may be used to further extract relationships between weather condition descriptors and adverse event descriptors. A data object is generated, according to a data model, based on the extracted relationships between the descriptors. A set of candidate unstructured documents containing the extracted relationship between the descriptors is retrieved and filtered by selecting unstructured documents that include a precautionary measure descriptor. The filtered precautionary measure descriptors are presented to a user in a summarized message to a user device.
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公开(公告)号：US10558695B2
公开(公告)日：2020-02-11
申请号：US15607694
申请日：2017-05-30
摘要： Relationship extraction between descriptors in one or more lists of weather condition descriptors, and adverse event descriptors within unstructured data sources using natural language processing. Medical condition descriptor may be a descriptor that may be used to further extract relationships between weather condition descriptors and adverse event descriptors. A data object is generated, according to a data model, based on the extracted relationships between the descriptors. A set of candidate unstructured documents containing the extracted relationship between the descriptors is retrieved and filtered by selecting unstructured documents that include a precautionary measure descriptor. The filtered precautionary measure descriptors are presented to a user in a summarized message to a user device.
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公开(公告)号：US10956456B2
公开(公告)日：2021-03-23
申请号：US15363617
申请日：2016-11-29
摘要： A method of identifying location data in a data set comprises generating a data sample from the data set, training a plurality of models with the data sample to identify the location data in the data set, and applying the data set to the trained models to determine the location data within the data set. The plurality of models includes one or more first models to identify primary attributes of the location data indicating a geographical area and one or more second models to identify secondary attributes of the location data used to determine corresponding primary attributes.
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5.发明授权公开(公告)号：US09892193B2
公开(公告)日：2018-02-13
申请号：US13848816
申请日：2013-03-22
发明人： Rashmi Gangadharaiah , Nandakishore Kambhatla , Rose C. Kanjirathinkal , Amit Kumar R. Singh , Karthik Visweswariah
CPC分类号： G06F17/30749 , G06Q10/101 , G06Q10/20 , G06Q30/016 , G06Q50/01
摘要： A method for detecting solutions to a problem using content in online discussion sources. The method includes receiving a request, such request identifying a problem, and searching multiple online discussion sources for content related to the problem. Responsive to finding content related to the problem, the method searches the multiple online discussion sources for a plurality of solutions to the problem. Responsive to finding a plurality of solutions to the problem, the method forms groups containing the solutions from each of the multiple online discussion sources. The method then determines a likeliness to solve the problem for each of the groups and ranks the groups based on the determined likeliness to solve the problem. The method then determines that the rank of at least one group meets a threshold value, wherein the threshold value is based on a confidence in the likeliness to solve the problem.
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公开(公告)号：US20130323690A1
公开(公告)日：2013-12-05
申请号：US13900918
申请日：2013-05-23
IPC分类号： G09B17/00
摘要： An uninterrupted reading experience can be provided by calculating a vocabulary level for a user in a first language and comparing difficulty levels of words within a document in the first language to the vocabulary level of the user in the first language. Each word of the document having a difficulty level that exceeds the vocabulary level of the user in the first language can be selected.
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公开(公告)号：US10331659B2
公开(公告)日：2019-06-25
申请号：US15257266
申请日：2016-09-06
IPC分类号： G06F16/23 , G06F16/215 , G06F16/28 , G06F16/901 , G06F17/27
摘要： A mechanism is provided for automatically detecting and cleansing erroneous concepts in an aggregated knowledge base. A graph data structure representing the concept present in a portion of the natural language content is generated. The graph data structure is analyzed to determine whether or not the graph data structure comprises one or more concept conflicts in association with a set of nodes in the graph data structure, the one or more concept conflicts are associated with the set of nodes if two or more nodes represent separate and distinct concepts. Responsive to determining that there are one or more concept conflicts due to there being two or more nodes representing separate and distinct concepts, the two or more nodes are split into separate distinct concepts within the knowledge base.
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公开(公告)号：US10235632B2
公开(公告)日：2019-03-19
申请号：US15892752
申请日：2018-02-09
发明人： Sheng Hua Bao , Rashmi Gangadharaiah , Richard L. Martin , David Martinez Iraola , Meenakshi Nagarajan , Dan G. Tecuci
摘要： A method, computer system, and a computer program product for determining the reliability of a claim is provided. The present invention may include receiving an input data from a user. The present invention may also include analyzing the claim associated with the received input data to determine a reliability score associated with the input data, wherein the claim is semantically similar to the received input data. The present invention may further include generating, from a prediction model, the reliability score for the claim associated with the received input data. The present invention may also include presenting the reliability score for the claim associated with the received input data to the user.
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9.发明申请USING CONTENT FOUND IN ONLINE DISCUSSION SOURCES TO DETECT PROBLEMS AND CORRESPONDING SOLUTIONS 有权使用在线讨论来源的内容来检测问题和相应的解决方案公开(公告)号：US20140289229A1
公开(公告)日：2014-09-25
申请号：US13848816
申请日：2013-03-22
发明人： Rashmi Gangadharaiah , Nandakishore Kambhatla , Rose C. Kanjirathinkal , Amit Kumar R. Singh , Karthik Visweswariah
IPC分类号： G06F17/30
CPC分类号： G06F17/30749 , G06Q10/101 , G06Q10/20 , G06Q30/016 , G06Q50/01
摘要： A method for detecting solutions to a problem using content in online discussion sources. The method includes receiving a request, such request identifying a problem, and searching multiple online discussion sources for content related to the problem. Responsive to finding content related to the problem, the method searches the multiple online discussion sources for a plurality of solutions to the problem. Responsive to finding a plurality of solutions to the problem, the method forms groups containing the solutions from each of the multiple online discussion sources. The method then determines a likeliness to solve the problem for each of the groups and ranks the groups based on the determined likeliness to solve the problem. The method then determines that the rank of at least one group meets a threshold value, wherein the threshold value is based on a confidence in the likeliness to solve the problem.
摘要翻译： 使用在线讨论来源中的内容来检测问题的方法。 该方法包括接收请求，识别问题的这种请求，以及搜索与该问题相关的内容的多个在线讨论来源。 响应于查找与问题相关的内容，该方法在多个在线讨论来源中搜索多个解决问题的解决方案。 响应于找到问题的多个解决方案，该方法形成包含来自多个在线讨论源中的每一个的解决方案的组。 然后，该方法确定了为每个组解决问题的可能性，并且基于确定的可能性来排列组来解决问题。 该方法然后确定至少一个组的秩满足阈值，其中阈值基于对解决问题的可能性的置信度。
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公开(公告)号：US10671577B2
公开(公告)日：2020-06-02
申请号：US15273959
申请日：2016-09-23
IPC分类号： G06F16/215
摘要： Merging synonymous entities from multiple structured sources into a dataset includes receiving a first set of paired terms from a first authoritative source for a domain and a second set of paired terms from a second authoritative source for the domain. The first set of paired terms is compared to the second set of paired terms with a similarity assessment based on a clustering statistical algorithm to identify paired terms from the first set of paired terms that share a synonymous term with one or more paired terms from the second set of paired terms. The paired terms associated with the synonymous term are merged and a dataset is generated that associates a normalized version of the synonymous term with any terms included in the merged paired terms.
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