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This invention describes a computer system that figures out the exact meaning of words and sentences based on their context. It does this by building a special network of related concepts, called a semantic network, and then automatically reorganizing this network to make it more efficient. The system then uses this optimized network to understand new language and store precise meanings, which can be used for things like talking to computers or smart devices.
Why it matters: Filed before the advent of large language models (LLMs), this patent's focus on automatically optimizing semantic networks for contextual meaning could now be re-evaluated as a method to structure, refine, or provide explainability for knowledge derived from LLMs, or to create more efficient, specialized language understanding systems.
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