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US Patent 11782966 Computer-implemented method for performing hierarchical classification

Patent 11782966 was granted and assigned to Tamr (company) on October, 2023 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Tamr
Tamr
Current Assignee
Tamr
Tamr
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11782966
Patent Inventor Names
John Kraemer
George Beskales
Paul Roome
Liam Cleary
Ihab F. Ilyas
Date of Patent
October 10, 2023
Patent Application Number
17581148
Date Filed
January 21, 2022
Patent Citations
‌
US Patent 9324022 Classifying data with deep learning neural records incrementally refined through expert input
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US Patent 10678816 Single-entity-single-relation question answering systems, and methods
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US Patent 10339468 Curating training data for incremental re-training of a predictive model
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US Patent 8332394 System and method for providing question and answers with deferred type evaluation
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US Patent 8463750 System and method for matching and assembling records
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US Patent 8612373 Method for transforming data elements within a classification system based in part on input from a human annotator or expert
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US Patent 8719267 Spectral neighborhood blocking for entity resolution
‌
US Patent 9081854 Multilabel classification by a hierarchy
Patent Primary Examiner
‌
Bai D Vu
Patent abstract

Given a number of records and a number of target classes to which these records belong to, a (weakly) supervised machine learning classification method leverages known possibly dirty classification rules, efficiently and accurately learns a classification model from training data, and applies the learned model to the data records to predict their classes.

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