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公开(公告)号：US11586973B2
公开(公告)日：2023-02-21
申请号：US16361425
申请日：2019-03-22
摘要： Embodiments relate to an intelligent computer platform to use ground truth data to rate source reliability, and application of the source reliability. A computer system, computer program product, and computer implemented method apply the ground truth data to evaluate a source, assess source reliability, and dynamically apply the assessed reliability. The assessed reliability is dynamically applied to response data, with the application yielding selective presentation of the response data based on the applied reliability assessment.
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公开(公告)号：US11500867B2
公开(公告)日：2022-11-15
申请号：US16182877
申请日：2018-11-07
IPC分类号： G06F16/2453 , G06F16/2457
摘要： A method of augmenting an information retrieval method including receiving a query, parsing the query to generate an instance graph, providing a plurality of constraint graphs, organized into at least two ranks, each constraint graph associated with a focus, determining at least one of the constraint graphs matching a structure of the instance graph, and annotating the query with the focus of each matching constraint graph of a highest rank among all matching constraint graphs.
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公开(公告)号：US11120060B2
公开(公告)日：2021-09-14
申请号：US16168718
申请日：2018-10-23
IPC分类号： G06F16/33 , G06F16/332
摘要： Embodiments for processing questions based on equivalence classes in a cognitive question answering system. A plurality of syntactic representations of a plurality of questions asked of the cognitive question answering system are provided. A plurality of syntactic representations of a plurality of passages ingested by the cognitive question answering system are provided. Question focus to candidate passage pairs are mapped to form an equivalence class mapping, and the equivalence class mapping is used to determine an answer to one of the plurality of questions asked of the cognitive question answering system.
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公开(公告)号：US10963500B2
公开(公告)日：2021-03-30
申请号：US16121390
申请日：2018-09-04
IPC分类号： G06F16/33 , G06F16/93 , G06F16/332
摘要： A computer-implemented method includes receiving an input query including a comparative question referencing a plurality of entities. The comparative question includes a comparative term regarding a metric associated with the plurality of entities. The computer-implemented method includes generating a plurality of polar questions. Each of the plurality of polar questions seeks a polar answer to a comparison, along the metric and according to the comparative term, between a target entity of the plurality of entities and at least one second entity of the plurality of entities. The computer-implemented method includes determining confidence scores for the plurality of polar questions. The computer-implemented method includes identifying a particular polar question of the plurality of polar questions based on the confidence scores. The computer-implemented method includes outputting a response to the input query that identifies the target entity of the particular polar question as an answer to the input query.
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公开(公告)号：US10949611B2
公开(公告)日：2021-03-16
申请号：US16248225
申请日：2019-01-15
IPC分类号： G06F40/194 , G06F40/30 , G06F40/247 , G06F40/284
摘要： Current plagiarism checkers can determine if a document has extensively copied from another but these checkers fail when a document is filled with synonyms. The present invention offers a means of detecting plagiarism involving the use of synonyms or heaving paraphrasing. A source passage from a pertinent corpus is modified by generating augmented tokens which include synonyms for the various terms in the passage. Text analysis may be required to confirm the semantic meaning of a term. The modified passage may be a regular expression. The modified passage can then be compared to a suspect passage using a trigram scorer. If possible plagiarism is detected, an alert message is sent to a reviewer with the passage of interest, the source passage, and an identification of the related corpus.
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公开(公告)号：US10901989B2
公开(公告)日：2021-01-26
申请号：US15920984
申请日：2018-03-14
IPC分类号： G06F16/2452 , G06F16/2455
摘要： A computer-implemented method includes receiving a query referencing entities, and determining non-polar questions (NPQs) for the query. Each of the NPQs omits a respective target entity (TE) of the entities. The method includes determining, for each of the NPQs, whether the NPQ is a non-matching NPQ by determining whether a top ranked answer for the NPQ matches the TE of the NPQ. The method includes proceeding to determine an updated input statement (UIS) for a non-matching NPQ by replacing the TE of the non-matching NPQs with the top ranked answer for the non-matching NPQ, determine an updated NPQ for the UIS, and determine whether the top ranked answer for the updated NPQ matches the TE of the updated NPQ, in an iterative or recursive manner. The method includes outputting a UIS as a substitute statement for the query.
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7.发明授权公开(公告)号：US10762185B2
公开(公告)日：2020-09-01
申请号：US16181115
申请日：2018-11-05
摘要： In response to receiving a second verification record of a second location and time at which a user is verified as present by a second internet of things (loT) device based on biometric input recognition, a proximity service maintains the second verification record in association with a user identifier only if travel between the second location and a first location previously recorded at a first time prior to the second time is feasible as determined by a mapping service. In response to receiving a verification request for verifying feasibility of the proximity of an authorized user of an account identifier at a third location at which the account identifier is presented with a transaction request and detecting the second verification record is maintained, the proximity service verifies the feasibility of the proximity of the authorized user as present at the third location in view of the second location and time.
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公开(公告)号：US10657204B2
公开(公告)日：2020-05-19
申请号：US16037711
申请日：2018-07-17
摘要： A cognitive assistant system, computer program product, and computer-implemented method configured to improve the accuracy of a statement. In one example, the system receives from a user an original statement that includes statement entities and generates an original confidence estimate (CE) for a correctness of the original statement. The system generates a replacement statement by selecting a suspect statement entity, selecting a replacement entity for the suspect statement entity, and replacing the suspect statement entity with the replacement entity in the original statement. The system generates a replacement CE for a correctness of the replacement statement. If the replacement CE exceeds the original CE by a tuning factor, the system sends the replacement statement to the user. If not, the system repeats generating the replacement statement and generating the replacement CE.
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公开(公告)号：US20190340239A1
公开(公告)日：2019-11-07
申请号：US15969154
申请日：2018-05-02
摘要： A method includes: receiving a question including multiple foci; determining one or more passages (OMPs) that include one or more sets of candidate answers (OMSCAs) to the question; determining matchings between words in the question and words in the OMPs; determining skipngrams of the question (“first skipngrams”); determining one or more sets of skipngrams of the OMPs (“second skipngrams”); determining one or more matching numbers (OMMNs) for the second skipngrams by determining, for each set of the second skipngrams and using the matchings, a number of the first skipngrams that match skipngrams of the set of skipngrams; determining a feature input to a machine learning model (MLM) using the OMMNs; determining one or more answers (OMAs) to the question by determining, by the MLM, whether the OMSCAs are correct answers to the question based at least in part on the feature input; and sending the OMAs to a user device.
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公开(公告)号：US20190279104A1
公开(公告)日：2019-09-12
申请号：US15914482
申请日：2018-03-07
摘要： A question and answer (QA) system, computer program product, and computer-implemented method configured to determine an answer to a question that includes a measurement value. In one example, the QA system receives a question and analyzes the question to identify a measurement value specified in the question. The QA system determines relevant passages to the question. The QA system assigns a measurement value confidence score to a relevant passage based on a comparison of the measurement value specified in the question and a second measurement value specified in the relevant passage. The QA system determines an order of the relevant passages using the measurement value confidence score of each of the relevant passages. The QA system determines an answer to the question based on the order of the relevant passages.
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