Invention Grant
- Patent Title: Relation extraction from text using machine learning
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Application No.: US16173534Application Date: 2018-10-29
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Publication No.: US11625573B2Publication Date: 2023-04-11
- Inventor: Alfio Massimiliano Gliozzo , Gaetano Rossiello , Robert G. Farrell
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Garg Law Firm, PLLC
- Agent Rakesh Garg; Peter Edwards
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/08 ; G06N3/045 ; G06F40/20 ; G06N3/048

Abstract:
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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