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US Patent 10977518 Machine learning based adaptive instructions for annotation

Patent 10977518 was granted and assigned to Amazon on April, 2021 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Amazon
Amazon
1
Current Assignee
Amazon
Amazon
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
109775181
Patent Inventor Names
Charles Bell1
James Robert Blair1
Rahul Sharma1
Vikram Madan1
Date of Patent
April 13, 2021
1
Patent Application Number
163556171
Date Filed
March 15, 2019
1
Patent Citations Received
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US Patent 12118297 Information processing apparatus
2
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US Patent 11521010 Automatically choosing data samples for annotation
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US Patent 11294884 Annotation assessment and adjudication
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US Patent 11663275 Method for dynamic data blocking in a database system
5
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US Patent 11755998 Smart data annotation in blockchain networks
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US Patent 11783031 Systems and methods for utilizing federated machine-learning to protect against potentially malicious data
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US Patent 11409772 Active learning for data matching
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US Patent 11854264 Speculative actions based on predicting negative circumstances
8
...
Patent Primary Examiner
‌
Jianxun Yang
1
Patent abstract

Techniques for generating and utilizing machine learning based adaptive instructions for annotation are described. An annotation service can use models to identify edge case data elements predicted to elicit differing annotations from annotators, “bad” data elements predicted to be difficult to annotate, and/or “good” data elements predicted to elicit matching or otherwise high-quality annotations from annotators. These sets of data elements can be automatically incorporated into annotation job instructions provided to annotators, resulting in improved overall annotation results via having efficiently and effectively “trained” the annotators how to perform the annotation task.

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