Personalized approach to handling hypotheticals in text

This invention describes a computer system that can identify hypothetical statements within a piece of writing. It works by breaking down the text, looking for phrases that might indicate a hypothetical, and then scoring how likely they are to be actual hypotheticals using a custom dictionary built specifically for the author's writing style. Once identified, these hypothetical parts of the text can be given more or less importance when the computer performs other tasks with the content.

Why it matters: Filed before the widespread adoption of large language models (LLMs), which now excel at semantic analysis and understanding nuanced linguistic patterns. Modern LLMs could significantly improve the accuracy and ease of building personalized style models for identifying hypotheticals, making the core concept more feasible.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, natural language processing, machine learning

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