Computing US 12,399,905 B2 Not in force

Context-sensitive linking of entities to private databases

This invention describes a system that automatically connects names or phrases found in documents to specific entries in your private databases. It works by using machine learning to understand the context around the name or phrase, then matching it to the most relevant record in your data. The system is designed to be a cloud-based service accessible over the internet, specifically using machine learning models and vector representations for context.

Why it matters: Filed before the widespread adoption and advanced capabilities of large language models (LLMs) for natural language processing. The claims' reliance on machine learning models and contextual vector representations is now significantly more powerful and accessible due to LLM advancements, making the context-sensitive linking more robust and easier to implement.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning models, cloud infrastructure

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