System and method for entity recognition and linking

This invention describes a system for understanding text by identifying key ideas or concepts within it and then clarifying their meaning. For instance, if the text mentions "Apple," the system determines if it refers to the fruit or the company. The claims focus on using natural language processing to recognize structured concepts and then disambiguate them, potentially by calculating how confident it is in its interpretation, using both positive and negative examples.

Why it matters: Filed before the widespread adoption of large language models. Modern AI can now perform concept recognition and disambiguation with significantly higher accuracy and less manual engineering than was feasible in 2016, potentially simplifying the implementation of the claimed confidence scoring and example-based comparison.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, NLP algorithms

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