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公开(公告)号：US11308143B2
公开(公告)日：2022-04-19
申请号：US16375057
申请日：2019-04-04
Applicant: International Business Machines Corporation
Inventor： Donna K. Byron , Elie Feirouz , Ashok Kumar , William G. O'Keeffe
IPC: G06F16/35 , G06N20/00 , G06F16/335 , G06F16/338 , G06F40/226
Abstract: Curation of a corpus of a cognitive computing system is performed by reporting to a user a cluster model of a parse tree structure of discrepancies and corresponding assigned confidence factors detected between at least a portion of a first electronic document and a second or more electronic documents in the information corpus. Responsive to a selection by the user of a discrepancy cluster model, drill-down details regarding the discrepancy are returned to the user, for subsequent user selection of an administrative action option for handling the detected discrepancy to curate the information corpus.
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公开(公告)号：US11100557B2
公开(公告)日：2021-08-24
申请号：US14532796
申请日：2014-11-04
Applicant: International Business Machines Corporation
Inventor： Donna K. Byron , Ashok Kumar , Alexander Pikovsky , Mary D. Swift
Abstract: Travel itineraries are automatically prepared based upon user interests and sentiments inferred by deep semantic analysis of user-commented and user-preferred digital works of literature by receiving interests and associated sentiment levels for at least one user according to a deep semantic analysis of a plurality of works of literature, wherein the works of literature have been rated, commented, or both rated and commented by the user; searching repositories of travel items to find one or more matching travel items to the received more interests and associated sentiment levels; and preparing at least one travel itinerary including at least one found matching travel item. Travel itineraries may be prepared responsive to a user-initiated trip planning session, responsive to notification of a new travel item's availability, periodically, or a combination thereof.
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3.发明授权公开(公告)号：US11030227B2
公开(公告)日：2021-06-08
申请号：US16162193
申请日：2018-10-16
Applicant: International Business Machines Corporation
Inventor： Donna K. Byron , Elie Feirouz , Ashok Kumar , William G. O'Keeffe
Abstract: A new document is processed for ingestion into a corpus of a cognitive computing system by associating with a category of documents already contained within the corpus, such as a topical category. Then, the cognitive computing system is engaged automatically to query one or more questions previously-associated with the category to discover discrepancies between the new document and those already in the corpus. If a discrepancy is found, a confidence factor based upon extracted natural language entities and relationships is assigned to the discrepancy, and it is flagged and reported to a user for reconciliation.
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公开(公告)号：US20190311274A1
公开(公告)日：2019-10-10
申请号：US15945924
申请日：2018-04-05
Applicant: International Business Machines Corporation
Inventor： Donna K. Byron , Srinavasa Gadde , Ashok Kumar , Timothy P. Winkler
Abstract: An approach is provided for performing an item tracking operation. The item tracking operation includes defining a knowledge model where the knowledge model correlates usage of an item away from a parked location with other locations visited by a user. The item tracking operation also includes tracking the item when the item is removed from the parked location where the tracking includes determining when the item is moved to a particular location. The item tracking operation also includes determining whether the item is returned to the parked location and notifying the user when the item was not returned to the parked location where the notifying calculates a probability that the item was left behind at the particular location.
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公开(公告)号：US20190236088A1
公开(公告)日：2019-08-01
申请号：US16375057
申请日：2019-04-04
Applicant: International Business Machines Corporation
Inventor： Donna K. Byron , Elie Feirouz , Ashok Kumar , William G. O'Keeffe
IPC: G06F16/35 , G06F16/338 , G06F17/27 , G06N20/00 , G06F16/335
CPC classification number: G06F16/355 , G06F16/335 , G06F16/338 , G06F17/2725 , G06N20/00
Abstract: Curation of a corpus of a cognitive computing system is performed by reporting to a user a cluster model of a parse tree structure of discrepancies and corresponding assigned confidence factors detected between at least a portion of a first electronic document and a second or more electronic documents in the information corpus. Responsive to a selection by the user of a discrepancy cluster model, drill-down details regarding the discrepancy are returned to the user, for subsequent user selection of an administrative action option for handling the detected discrepancy to curate the information corpus.
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Patent Agency Ranking
6.发明授权公开(公告)号：US10146858B2
公开(公告)日：2018-12-04
申请号：US14966568
申请日：2015-12-11
Applicant: International Business Machines Corporation
Inventor： Donna K. Byron , Elie Feirouz , Ashok Kumar , William G. O'Keeffe
Abstract: A new document is processed for ingestion into a corpus of a cognitive computing system by associating with a category of documents already contained within the corpus, such as a topical category. Then, the cognitive computing system is engaged automatically to query one or more questions previously-associated with the category to discover discrepancies between the new document and those already in the corpus. If a discrepancy is found, a confidence factor based upon extracted natural language entities and relationships is assigned to the discrepancy, and it is flagged and reported to a user for reconciliation.
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公开(公告)号：US20180121973A1
公开(公告)日：2018-05-03
申请号：US15659731
申请日：2017-07-26
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Carmine M. DiMascio , Benjamin L. Johnson , Ashok Kumar , Timothy P. Winkler
CPC classification number: G06Q30/04 , G06Q20/102 , G06Q20/12 , G06Q20/22
Abstract: A method for distributing a plurality of funds to a plurality of content creators is provided. The method may include registering a content creator using a plurality of content creator identifying information when a user visits a content creator webpage. The method may also include receiving a plurality of user interaction data when the user visits the content creator webpage of a registered content creator. The method may further include generating an invoice based on the received plurality of user interaction data. The method may also include disbursing at least one payment to the registered content creator based on the generated invoice.
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公开(公告)号：US20170199929A1
公开(公告)日：2017-07-13
申请号：US14993667
申请日：2016-01-12
Applicant: International Business Machines Corporation
Inventor： Donna K. Byron , Ellie Feirouz , Ashok Kumar , William G. O'Keeffe
IPC: G06F17/30 , G06N5/02 , G06F3/0482
CPC classification number: G06F17/30675 , G06N5/022
Abstract: A selected document from corpus of a cognitive computing system is processed according to its association with a category of documents already contained within the corpus, such as a topical category. Then, the cognitive computing system is engaged automatically to query one or more questions previously-associated with the category to discover discrepancies between the selected document and the other corpus documents. If a discrepancy is found, a confidence factor based upon extracted natural language entities and relationships is assigned to the discrepancy, and it is flagged and reported to a user for reconciliation.
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公开(公告)号：US20170199882A1
公开(公告)日：2017-07-13
申请号：US14993538
申请日：2016-01-12
Applicant: International Business Machines Corporation
Inventor： Donna K. Byron , Ellie Feirouz , Ashok Kumar , William G. O'Keeffe
CPC classification number: G06F17/3071 , G06F17/2725 , G06F17/30696 , G06F17/30699 , G06N99/005
Abstract: Curation of a corpus of a cognitive computing system is performed interactively by reporting on user interface device to a user a parse tree illustration of discrepancies and corresponding assigned confidence factors detected between at least a portion of a first document and a second or more documents in the corpus. Responsive to a user selection of an illustrated discrepancy in the parse tree, a drill-down dialog is prepared and displayed which shows at least a text string for the portion of the first document and at least one conflicting text string from the second or more documents, and which provides at least one user-selectable administrative action option for handling the detected discrepancy. Responsive to receipt of user selection of an administrative action option, the computing system performs the action to handle the detected discrepancy.
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公开(公告)号：US20160350279A1
公开(公告)日：2016-12-01
申请号：US14722862
申请日：2015-05-27
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Donna K. Byron , Ashok Kumar , Mary D. Swift
CPC classification number: G06F17/2705 , G06F17/2785 , G06F17/30654 , G09B5/00 , G09B7/00
Abstract: A method, system or computer usable program product for utilizing a dialectical model for providing an answer to a user query including receiving a query from a user; applying NLP to the query to generate a first set of NLP structures; generating a contrary set of NLP structures contrary to the user query; evaluating the first set of NLP structures to identify a first set of evidence; evaluating the contrary set of NLP structures to identify a second set of evidence; evaluating a first set of hypotheses from the first set of NLP structures based by the first and second set of evidence, and a contrary set of hypotheses from the contrary set of NLP structures based by the first and second set of evidence, to determine a set of answers to the user query; and providing the set of answers to the user.
Abstract translation: 一种用于利用辩证模型提供用户查询的答案的方法，系统或计算机可用程序产品，包括从用户接收查询; 将NLP应用于查询以生成第一组NLP结构; 产生与用户查询相反的相反的一组NLP结构; 评估第一组NLP结构以确定第一组证据; 评估相反的一组NLP结构，以确定第二组证据; 基于第一组和第二组证据，从第一组NLP结构评估第一组假设，以及基于第一和第二组证据的相反NLP结构集合的相反的一组假设，以确定一组 的用户查询的答案; 并向用户提供一组答案。
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