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51. 发明申请

US20180113867A1 NATURAL LANGUAGE PROCESSING REVIEW AND OVERRIDE BASED ON CONFIDENCE ANALYSIS 审中-公开
公开(公告)号：US20180113867A1
公开(公告)日：2018-04-26
申请号：US15333793
申请日：2016-10-25
申请人： International Business Machines Corporation
发明人： Eric L. Erpenbach , Andrew J. Lavery , Richard J. Stevens , Fernando J. Suarez Saiz
IPC分类号： G06F17/30
CPC分类号： G06F16/243 , G06F17/21
摘要： Natural language processing includes processing unstructured data in response to a request for a conclusion to a line of inquiry to produce structured information that conforms to a computer readable information schema. Values obtained from the unstructured data are assigned to attributes of the structured information and determining a candidate conclusion to the line of inquiry based on the value-assigned attributes. A confidence score is computed that is indicative of a sufficiency of the candidate conclusion as the conclusion to the line of inquiry. One or more of the attributes are displayed to a user for modification responsive to the confidence score of the corresponding conclusion failing to meet a confidence criterion. The displayed attributes are ranked by relevance of the attribute to the corresponding conclusion. The conclusion to the line of inquiry is determined based on the modified values of the user-selected attributes.

52. 发明授权

US09817850B2 Auditing database access in a distributed medical computing environment 有权
公开(公告)号：US09817850B2
公开(公告)日：2017-11-14
申请号：US13688914
申请日：2012-11-29
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Joel C. Dubbels , Janice R. Glowacki , Richard J. Stevens
IPC分类号： G06F17/30 , G06F19/00
CPC分类号： G06F17/30283 , G06F19/00 , G06F19/321
摘要： Auditing database access in a distributed medical computing environment includes receiving from a user a query of one or more databases within the distributed medical administration computing environment; determining by an audit manager in dependence upon audit policies for the medical computing environment whether any of the results of the query require auditing access; and if any of the results of the query require auditing access, creating an audit record and storing the audit record in an audit database.

53. 发明授权

US09773044B2 Multi-dimensional feature merging for supporting evidence in a question and answering system 有权
公开(公告)号：US09773044B2
公开(公告)日：2017-09-26
申请号：US13793287
申请日：2013-03-11
申请人： International Business Machines Corporation
发明人： Joel C. Dubbels , Thomas J. Eggebraaten , Mark G. Megerian , William C. Rapp , Richard J. Stevens , Patrick M. Wildt , Eric W. Will
IPC分类号： G06F15/18 , G06F17/30
CPC分类号： G06F17/3053 , G06F17/30654
摘要： Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first feature score being based on at least one attribute of the first feature, the item of evidence relating to a first candidate answer, of the plurality of candidate answers, and computing a merged feature score for the first candidate answer by applying the first feature score to a second feature score for a second feature of the item of evidence.

54. 发明授权

US09747552B2 Using cohorts to infer attributes for an input case in a question answering system 有权
公开(公告)号：US09747552B2
公开(公告)日：2017-08-29
申请号：US14658973
申请日：2015-03-16
申请人： International Business Machines Corporation
发明人： Adam T. Clark , Jeffrey K. Huebert , Aspen L. Payton , John E. Petri , Richard J. Stevens , Kathryn L. Whaley
IPC分类号： G06N5/04 , G06F17/30
CPC分类号： G06N5/04 , G06F17/3043
摘要： A cohort analysis mechanism analyzes cohorts to infer one or more additional attributes for an input case to provide a refined input case to answer a question in a question answering system. The refined input case is then used to answer a question in the question answering system. The refined input case can be used in a traditional question answering flow or in a flow that again uses cohort analysis to extract relevant data to answer the question. The cohort analysis mechanism analyzes cohorts to find common attributes in the cohorts and then determines whether to infer the common attributes into the refined input case. The cohort analysis mechanism may determine to dialog with a user to confirm an inferred attribute.

55. 发明申请

US20160148114A1 Automatic Generation of Training Cases and Answer Key from Historical Corpus 审中-公开
标题翻译：自动生成培训案例，从历史语料库中回答
公开(公告)号：US20160148114A1
公开(公告)日：2016-05-26
申请号：US14552948
申请日：2014-11-25
申请人： International Business Machines Corporation
发明人： Corville O. Allen , Christine A. Grev , Richard J. Stevens , Kathryn L. Whaley
IPC分类号： G06N99/00 , G06N5/04 , G06F19/00
CPC分类号： G06N20/00 , G16H10/60
摘要： Mechanisms are provided for training and operating a Question and Answer (QA) system pipeline. A corpus of information is received which comprises historical data to which one or more filter criteria are applied to extract filtered historical data relevant to a training objective for training the QA system pipeline. Attribute data, action data, and temporal characteristic data are captured from the filtered historical data. An answer key entry is automatically generated in an automatically generated training answer key data structure based on the attribute data, action data, and temporal characteristic data. The correct answer associated with the answer key entry is an action specified by the action data. The temporal characteristic data provides a historical context for the answer key entry. The QA system pipeline is trained using the automatically generated training answer key data structure.
摘要翻译：提供了培训和运行问答系统管道的机制。接收到包含历史数据的信息语料库，其中应用一个或多个过滤标准来提取与用于训练QA系统流水线的训练目标相关的过滤历史数据。从过滤的历史数据中捕获属性数据，动作数据和时间特征数据。基于属性数据，动作数据和时间特征数据，在自动生成的训练答案密钥数据结构中自动生成应答密钥条目。与应答键输入相关联的正确答案是由动作数据指定的动作。时间特征数据提供了应答密钥条目的历史上下文。使用自动生成的训练答案密钥数据结构对QA系统管道进行训练。

56. 发明申请

US20160078351A1 USING COHORTS IN A QUESTION ANSWERING SYSTEM 有权
标题翻译：在问题回答系统中使用协同作用
公开(公告)号：US20160078351A1
公开(公告)日：2016-03-17
申请号：US14492661
申请日：2014-09-22
申请人： International Business Machines Corporation
发明人： Adam T. Clark , Jeffrey K. Huebert , Aspen L. Payton , John E. Petri , Richard J. Stevens , Kathryn L. Whaley
IPC分类号： G06N5/04 , G06N99/00 , G06F17/30
CPC分类号： G06N5/022 , G06F17/3053 , G06N5/041 , G06N5/043 , G06N5/046 , G06N99/005
摘要： A cohort analysis mechanism analyzes cohorts with similar attributes to extrapolate additional knowledge and answer a question in a question answering system. The cohort analysis mechanism identifies cohorts for an entity of the question and extracts relevant data concerning the cohorts. The cohort analysis mechanism aggregates the relevant information for evidence scoring and answer scoring to answer a question posed to the question answering system. The aggregating of the data includes combining and ranking answers from the cohorts, gathering evidence and then answering the question with the gathered evidence.
摘要翻译：队列分析机制分析具有相似属性的队列，以推断额外的知识并在问答系统中回答问题。队列分析机制确定问题实体的队列，并提取有关队列的相关数据。队列分析机制综合了证据评分和回答评分的相关信息，回答了问答系统的问题。数据的汇总包括组合和排列队列的答案，收集证据，然后用所收集的证据回答问题。

57. 发明授权

US09158772B2 Partial and parallel pipeline processing in a deep question answering system 有权
标题翻译：在深层问答系统中进行部分并行流水线处理
公开(公告)号：US09158772B2
公开(公告)日：2015-10-13
申请号：US13717105
申请日：2012-12-17
申请人： International Business Machines Corporation
发明人： Adam T. Clark , Mark G. Megerian , John E. Petri , Richard J. Stevens
IPC分类号： G06F17/30
CPC分类号： G06F17/30038 , G06F17/30675 , G06N5/022 , G06N99/005
摘要： System, method, and computer program product to reduce an amount of processing required to generate a response to a first case by a deep question answering system, by, determining that a similarity score, of the first case relative to a second case, exceeds a similarity threshold, identifying a first feature of the second case having a first relevance score exceeding a relevance threshold, identifying a first candidate answer for the first case that does not have the first feature, and refraining from analyzing the first candidate answer in generating the response to the first case, thereby reducing the amount of processing of the deep question answering system.
摘要翻译：系统，方法和计算机程序产品，以减少由深度问答系统产生对第一种情况的响应所需的处理量，通过确定第一种情况相对于第二种情况的相似度得分超过相似性阈值，识别具有第一相关性分数超过相关性阈值的第二种情况的第一特征，识别第一种不具有第一特征的第一候选答案，并且避免分析第一候选答案以产生响应在第一种情况下，从而减少深层问答系统的处理量。

58. 发明申请

US20140172756A1 QUESTION CLASSIFICATION AND FEATURE MAPPING IN A DEEP QUESTION ANSWERING SYSTEM 有权
公开(公告)号：US20140172756A1
公开(公告)日：2014-06-19
申请号：US13717043
申请日：2012-12-17
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Adam T. Clark , Mark G. Megerian , John E. Petri , Richard J. Stevens
IPC分类号： G06N99/00
CPC分类号： G06N99/005 , G06F17/00 , G06N5/022 , G06Q10/00
摘要： System, method, and computer program product to identify relevant features in a deep question answering system, by classifying a first case received by the deep question answering system, and, while training the deep question answering system to answer the first case, identifying a first feature in the first case, computing a first feature score for the first feature, the first feature score indicating a relevance of the first feature in generating a correct response to the first case, and, identifying the first feature as relevant in answering the classified first case upon determining that the first feature score exceeds a relevance threshold.

59. 发明授权

US11562257B2 Identifying knowledge gaps utilizing cognitive network meta-analysis 有权
公开(公告)号：US11562257B2
公开(公告)日：2023-01-24
申请号：US16202889
申请日：2018-11-28
申请人： International Business Machines Corporation
发明人： Richard J. Stevens , Fernando Jose Suarez Saiz , Eric W. Will , Adam Clark
IPC分类号： G06N5/02 , G16H50/70 , G16H20/00 , G16B40/00 , G16B50/00
摘要： Techniques for identifying missing evidence are provided. A plurality of documents, each comprising digitally encoded natural language text data, is received. The plurality of documents is processed to determine a plurality of pair-wise comparisons between a plurality of therapies, where each of the plurality of pair-wise comparisons indicate a relative efficacy of at least one therapy in the plurality of therapies, as compared to at least one other therapy in the plurality of therapies. A knowledge graph is generated based at least in part on aggregating the plurality of pair-wise comparisons, and the knowledge graph is analyzed to identify one or more knowledge gaps within the knowledge graph. Finally, at least an indication of the identified one or more knowledge gaps is output.

60. 发明授权

US10971254B2 Medical condition independent engine for medical treatment recommendation system 有权
公开(公告)号：US10971254B2
公开(公告)日：2021-04-06
申请号：US15262311
申请日：2016-09-12
申请人： International Business Machines Corporation
发明人： Corville O. Allen , Thomas J. Eggebraaten , Mark G. Megerian , Richard J. Stevens
IPC分类号： G16H10/60 , G16H50/30 , G16H70/60 , G16H50/20 , G16H20/00 , G16H70/20
摘要： Mechanisms are provided which configure a medical treatment recommendation system to implement a medical condition independent treatment recommendation model. The medical condition independent treatment recommendation model operates on medical condition independent scoring features that are independent of any specific medical condition. The mechanisms configure the medical treatment recommendation system to receive a medical condition cartridge providing at least one medical condition specific evaluation feature that is specific to a medical condition, and process patient information based on a combination of an application of the at least one medical condition specific evaluation feature, and an execution of the medical condition independent treatment recommendation model of the medical treatment recommendation system, to generate a treatment recommendation for a patient medical condition associated with the patient. The mechanisms then output the treatment recommendation for the patient.

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