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US Patent 11625573 Relation extraction from text using machine learning

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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
116255730
Patent Inventor Names
Gaetano Rossiello0
Robert G. Farrell0
Alfio Massimiliano Gliozzo0
Date of Patent
April 11, 2023
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Patent Application Number
161735340
Date Filed
October 29, 2018
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Patent Citations
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US Patent 11055355 Query paraphrasing
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Patent Primary Examiner
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Omar F Fernandez Rivas
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CPC Code
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G06N 3/08
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G06N 3/0481
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G06N 3/0454
0

A first neural network is operated on a processor and a memory to encode a first natural language string into a first sentence encoding including a set of word encodings. Using a word-based attention mechanism with a context vector, a weight value for a word encoding within the first sentence encoding is adjusted to form an adjusted first sentence encoding. Using a sentence-based attention mechanism, a first relationship encoding corresponding to the adjusted first sentence encoding is determined. An absolute difference between the first relationship encoding and a second relationship encoding is computed. Using a multi-layer perceptron, a degree of analogical similarity between the first relationship encoding and a second relationship encoding is determined.

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