This invention describes a way for smart assistants to better understand what you say. It works by taking your words, trying to understand them in a couple of different ways, and then checking if one of those understandings matches something it already knows in its database. If it finds a match, it trusts that understanding more, uses it to figure out what you want, and then performs the task.
Why it matters: Filed before large language models became prevalent. Modern LLMs can now perform sophisticated parsing and knowledge integration, potentially simplifying the complex multi-parser and ranking logic described, making the core idea more feasible or efficient to implement.
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