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US Patent 10303999 Machine learning-based relationship association and related discovery and search engines

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Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
103039990
Patent Inventor Names
Shai Hertz0
Mans Olof-Ors0
Oren Hazai0
Phani Nivarthi0
Yael Lindman0
Yehonatan Mataraso0
Enav Weinreb0
Geoff Horrell0
Date of Patent
May 28, 2019
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Patent Application Number
156098000
Date Filed
May 31, 2017
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Patent Citations Received
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US Patent 12007988 Interactive assistance for executing natural language queries to data sets
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US Patent 11500865 Multiple stage filtering for natural language query processing pipelines
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US Patent 11250038 Question and answer pair generation using machine learning
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US Patent 11604794 Interactive assistance for executing natural language queries to data sets
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US Patent 11620455 Intelligently summarizing and presenting textual responses with machine learning
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US Patent 11275776 Section-linked document classifiers
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US Patent 11687826 Artificial intelligence (AI) based innovation data processing system
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US Patent 11782981 Method, apparatus, server, and storage medium for incorporating structured entity
...
Patent Primary Examiner
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Belix M Ortiz Ditren
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Patent abstract

Systems and techniques for determining relationships and association significance between entities are disclosed. The systems and techniques automatically identify supply chain relationships between companies based on unstructured text corpora. The system combines Machine Learning models to identify sentences mentioning supply chain between two companies (evidence), and an aggregation layer to take into account the evidence found and assign a confidence score to the relationship between companies.

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