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公开(公告)号：US11645315B2
公开(公告)日：2023-05-09
申请号：US17128126
申请日：2020-12-20
IPC分类号： G06F16/33 , G06F16/906 , G06F16/35
CPC分类号： G06F16/3344 , G06F16/35 , G06F16/906
摘要： Clustering a set of natural language queries NLQs based on a set of significant events retrieved from a corpus stored in a computer system is described. A set of NLQs is used by a search engine for searching a selected corpus to retrieve respective sets of significant events. The set of NLQs is clustered into a plurality of NLQ clusters according to a number of common significant events being returned by the search engine for respective members of an NLQ cluster.
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公开(公告)号：US10832146B2
公开(公告)日：2020-11-10
申请号：US15000582
申请日：2016-01-19
IPC分类号： G06N5/04 , G06N20/00 , G06F40/30 , G06F40/247
摘要： Embodiments are directed to a method of utilizing an ensemble of distributional semantics systems in conjunction with a domain term extractor for generating domain-specific synonyms. The method allows for extraction of high-quality, domain-specific synonyms that can be used in an information handling system, such as a question-answer system or in an information retrieval (IR) system, capable of processing natural language. According to embodiments, the domain term extractor identifies the words for which synonyms are sought, and the ensemble of distributional semantics systems determines the synonyms.
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公开(公告)号：US20200327193A1
公开(公告)日：2020-10-15
申请号：US16380986
申请日：2019-04-10
IPC分类号： G06F17/27 , G06K9/62 , G06F3/0482 , G06F17/24
摘要： A test controller submits testing phrases to a text classifier and receives, from the text classifier, classification labels each comprising one or more respective heatmap values each associated with a separate word. The test controller aligns each of the classification labels corresponding with a respective testing phrase. The test controller identifies one or more anomalies of a selection of one or more classification labels that are different from an expected classification label for the respective testing phrase. The test controller outputs a graphical representation in a user interface of the selection of one or more classification labels and one or more respective testing phrases with visual indicators based on one or more respective heatmap values.
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公开(公告)号：US10789546B2
公开(公告)日：2020-09-29
申请号：US15190505
申请日：2016-06-23
IPC分类号： G06N20/00 , G06N7/00 , G06F40/35 , G06F40/295
摘要： A computer-implemented method includes creating a classifier by: training a machine learning model using two or more tasks, wherein the tasks lie in two or more domains; including in the machine learning model at least one attribute common to at least two of said two or more domains; including in the machine learning model at least one latent feature that affects at least two of the two or more tasks that fall within one of the at least two domains; and constructing the classifier based on said machine learning model. The computer-implemented method further includes applying the classifier to at least one operational task.
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5.发明申请公开(公告)号：US20190384823A1
公开(公告)日：2019-12-19
申请号：US16556820
申请日：2019-08-30
摘要： A knowledgebase of an expert system is populated with rules inferred from a set of business processes that govern the manner in which the business interacts with users. Each business process contains an input, an output, an action, and a set of dependency relationships that relate pairs of the input, the output, and the action. Each process's input, output, action, and dependency relationships are translated, respectively, into a subject, an object, a predicate, and a set of dependency relationships among the subject, object, and predicate, of a natural-language rule. Each rule is stored in the expert system's knowledgebase as a directed graph, and nodes representing each stored subject, object, and predicate are assigned domain classifications as a function of characteristics of the business rule. These domain classifications are represented within the knowledgebase as a set of domain classifications determined as a further function of characteristics of the business rule.
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公开(公告)号：US20190179840A1
公开(公告)日：2019-06-13
申请号：US16274663
申请日：2019-02-13
发明人： Donna K. Byron , Devendra Goyal , Lakshminarayanan Krishnamurthy , Priscilla Santos Moraes , Michael C. Smith
摘要： Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
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公开(公告)号：US20190164093A1
公开(公告)日：2019-05-30
申请号：US15822918
申请日：2017-11-27
CPC分类号： G06Q10/0635 , G06Q30/0282
摘要： A method, in a data processing system comprising a processor and a memory, for analyzing product impact, the method comprising receiving, by the data processing system, data representative of an entity's operations, receiving, by the data processing system, a selection of one or more products, parsing, by the data processing system, features of the one or more products from product data input, and generating, by the data processing system, product profiles for the one or more products based on the parsed features. The method further comprising generating, by the data processing system, risk assessment data based on the data representative of the entity's operations and the product profiles, the risk assessment data including an indication of one or more changes in risk metrics of one or more risk components associated with the entity's operations by offering the one or more products.
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公开(公告)号：US20190156256A1
公开(公告)日：2019-05-23
申请号：US15820989
申请日：2017-11-22
IPC分类号： G06Q10/06
摘要： One or more portions of a text corpus indicative of operational risk from a set of risk assessment documents is identified. Contextual features from the one or more portions of the text corpus are determined by applying a natural language processing (NLP) algorithm on the one or more portions. Risk identifiers are extracted based on the determined contextual features. A risk assessment software is generated based on the extracted risk identifiers and an operational risk category.
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公开(公告)号：US10275453B2
公开(公告)日：2019-04-30
申请号：US15615189
申请日：2017-06-06
摘要： A method is disclosed for identifying paraphrases in a natural language processing (NLP) system comprising: receiving a first phrase and a second phrase by a system; analyzing the first phrase and the second phrase to provide a semantic and structural hierarchical comparison assessment, the semantic and structural hierarchical comparison assessment having an associated semantic and structural hierarchical comparison assessment value; and determining whether the semantic and structural hierarchical comparison assessment value exceeds a predetermined paraphrase equivalency criteria; and, responsive to determining the semantic and structural hierarchical comparison assessment value exceeds the predetermined paraphrase equivalency criteria, classifying the second phrase as being a rewording of the first phrase.
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公开(公告)号：US10275452B2
公开(公告)日：2019-04-30
申请号：US15594057
申请日：2017-05-12
摘要： A system, method, and computer-readable medium are disclosed for identifying paraphrases in a natural language processing (NLP) system comprising: receiving a first phrase and a second phrase by a system; analyzing the first phrase and the second phrase to provide a semantic and structural hierarchical comparison assessment, the semantic and structural hierarchical comparison assessment having an associated semantic and structural hierarchical comparison assessment value; and determining whether the semantic and structural hierarchical comparison assessment value exceeds a predetermined paraphrase equivalency criteria; and, responsive to determining the semantic and structural hierarchical comparison assessment value exceeds the predetermined paraphrase equivalency criteria, classifying the second phrase as being a rewording of the first phrase.
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