Convolutional state modeling for planning natural language conversations

This invention describes a computer program designed to manage natural language conversations. It works by breaking down user input, understanding its meaning using techniques like named entity recognition, and then using a specialized "convoluted knowledge model" that stores "hyper states" to guide the conversation. This allows the system to translate user actions into specific machine queries, sometimes employing a vector space model for better understanding. The claims specifically narrow this to a "convoluted knowledge model" with "hyper states."

Why it matters: This was filed before large language models became widely available and powerful. Modern LLMs could significantly simplify the natural language understanding, semantic analysis, and query generation aspects, potentially making the "convoluted knowledge model" easier to build or more effective.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, AI/ML expertise needed

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