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Patent drawing for NLP-based entity recognition and disambiguation
US 10,282,389 B2
Computing US 10,282,389 B2 Expired

NLP-based entity recognition and disambiguation

This invention describes a computer system that can read a piece of text and figure out which specific people, places, or things are being talked about. It does this by breaking down the language, looking at the surrounding words for clues, and checking against a database of known information. The system then shows this clarified information to a user through a web browser.

Why it matters: Filed before the widespread adoption of transformer-based large language models, which now excel at contextual understanding and knowledge integration. These advancements could significantly enhance the accuracy and efficiency of the linguistic analysis and disambiguation engines described.

Status
ExpiredProtection ended and was never renewed
How hard to build
SpecializedSoftware logic, knowledge bases, NLP models

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