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公开(公告)号：US20230161787A1
公开(公告)日：2023-05-25
申请号：US18094970
申请日：2023-01-09
IPC分类号： G06F16/25 , G06F16/34 , G06F16/30 , G06F40/174 , G06F40/186
CPC分类号： G06F16/254 , G06F16/345 , G06F16/30 , G06F40/174 , G06F40/186
摘要： Methods and systems for providing computer-assisted guided review of unstructured data to generate a structured data output based on customizable template rules are provided. In embodiments, an unstructured file is received, and a predefined template is selected. The predefined template includes a plurality of fields, each field corresponding to a field of the structured report. The predefined template also defines extraction rules for each field of the predefined template, and the extraction rules define parameters for identifying unstructured data relevant to the associated field. The extraction rules are applied to the unstructured file to identify data relevant to the field associated with the corresponding extraction rule, and the data identified as relevant is confirmed. Confirming the relevant data includes determining to refine the relevant data based on a condition, and modifying the extraction rule associated with the field to refine the relevant data.
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公开(公告)号：US20210026823A1
公开(公告)日：2021-01-28
申请号：US17068818
申请日：2020-10-12
发明人： David von Rickenbach , David Oliver , Daniella Tsar , Kim Hau , Dorcas Mbwiti , Johannes Schleith , Guillaume Mosching , Sanzio Monti
摘要： The present disclosure relates to systems and methods for enhanced mapping of transaction data to a target document, and for classifying line items of the mapped transaction data, using classification algorithms. Embodiments provide a system including a column mapping module to receive a target scheme specifying a target structure for the target document, receive transaction data having a source structure, and map at least one source column to at least one target column of the target columns based on application of classification algorithms to features identified from the source transaction data. The system also includes a row classification module to classify the rows of the mapped transaction data into classification categories. The system also includes a validation handler to receive validation input from a user, validating the column mapping and/or the row classification. The validating including accepting the recommendation or rejecting the recommendation and selecting a correct choice.
101064083.1-
公开(公告)号：US20210232615A1
公开(公告)日：2021-07-29
申请号：US17233249
申请日：2021-04-16
IPC分类号： G06F16/33 , G06F16/335 , G06F16/31 , G06F16/338
摘要： Methods and systems for providing computer-assisted guided review of unstructured data to generate a structured data output based on customizable template rules are provided. In embodiments, an unstructured file is received, and a predefined template is selected. The predefined template includes a plurality of fields, each field corresponding to a field of the structured report. The predefined template also defines extraction rules for each field of the predefined template, and the extraction rules define parameters for identifying unstructured data relevant to the associated field. The extraction rules are applied to the unstructured file to identify data relevant to the field associated with the corresponding extraction rule, and the data identified as relevant is confirmed. Confirming the relevant data includes determining to refine the relevant data based on a condition, and modifying the extraction rule associated with the field to refine the relevant data.
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公开(公告)号：US11797503B2
公开(公告)日：2023-10-24
申请号：US17068818
申请日：2020-10-12
发明人： David von Rickenbach , David Oliver , Daniella Tsar , Kim Hau , Dorcas Mbwiti , Johannes Schleith , Guillaume Mosching , Sanzio Monti
CPC分类号： G06F16/22 , G06F11/0727 , G06F11/0793 , G06F16/285 , G06N7/01 , G06N20/00 , G06Q40/12
摘要： The present disclosure relates to systems and methods for enhanced mapping of transaction data to a target document, and for classifying line items of the mapped transaction data, using classification algorithms. Embodiments provide a system including a column mapping module to receive a target scheme specifying a target structure for the target document, receive transaction data having a source structure, and map at least one source column to at least one target column of the target columns based on application of classification algorithms to features identified from the source transaction data. The system also includes a row classification module to classify the rows of the mapped transaction data into classification categories. The system also includes a validation handler to receive validation input from a user, validating the column mapping and/or the row classification. The validating including accepting the recommendation or rejecting the recommendation and selecting a correct choice.
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公开(公告)号：US20230195715A1
公开(公告)日：2023-06-22
申请号：US18083469
申请日：2022-12-16
CPC分类号： G06F16/2365 , G06F16/285
摘要： Embodiments of the present disclosure support systems and methods providing functionality for performing anomaly detection and remediation. In an aspect, a dataset comprising transaction data stored in a plurality of data sources is obtained. One or more clustering algorithms are executed against the dataset to identify a plurality of clusters. At least one cluster of the plurality of clusters corresponds to a portion of the dataset comprising an anomaly. A classifier may be used to determine a cause of the anomaly and one or more actions to eliminate the anomaly may be initiated. Data derived from the dataset subsequent to the one or more actions may be output. For example, the output may be a report generated based on the dataset.
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公开(公告)号：US11550810B2
公开(公告)日：2023-01-10
申请号：US16269325
申请日：2019-02-06
IPC分类号： G06F16/25 , G06F16/34 , G06F16/30 , G06F40/174 , G06F40/186
摘要： Methods and systems for providing computer-assisted guided review of unstructured data to generate a structured data output based on customizable template rules. In embodiments, an unstructured file is received, and a predefined template is selected. The predefined template includes a plurality of fields, each field corresponding to a field of the structured report. The predefined template also defines extraction rules for each field of the predefined template, and the extraction rules define parameters for identifying unstructured data relevant to the associated field. The extraction rules are applied to the unstructured file to identify data relevant to the field associated with the corresponding extraction rule, and the data identified as relevant is confirmed. Confirming the relevant data includes determining to refine the relevant data based on a condition, and modifying the extraction rule associated with the field to refine the relevant data.
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公开(公告)号：US10803033B2
公开(公告)日：2020-10-13
申请号：US16181680
申请日：2018-11-06
发明人： David von Rickenbach , David Oliver , Daniella Tsar , Kim Hau , Dorcas Mbwiti , Johannes Schleith , Guillaume Mosching , Sanzio Monti
摘要： The present disclosure relates to systems and methods for enhanced mapping of transaction data to a target document, and for classifying line items of the mapped transaction data, using classification algorithms. Embodiments provide a system including a column mapping module to receive a target scheme specifying a target structure for the target document, receive transaction data having a source structure, and map at least one source column to at least one target column of the target columns based on application of classification algorithms to features identified from the source transaction data. The system also includes a row classification module to classify the rows of the mapped transaction data into classification categories. The system also includes a validation handler to receive validation input from a user, validating the column mapping and/or the row classification. The validating including accepting the recommendation or rejecting the recommendation and selecting a correct choice.
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