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Patent drawing for System for creating a reasoning graph and for ranking of its nodes
US 10,503,791 B2
Computing US 10,503,791 B2 Not in force

System for creating a reasoning graph and for ranking of its nodes

This invention describes a computer system that automatically reads vast amounts of text from the internet and other sources. Its purpose is to identify cause-and-effect relationships between different concepts, events, or people, organizing these into a network where connections show what leads to what. The system can then rank the importance of these concepts within the network. The system specifically extracts these cause-effect links either by looking for patterns in words and punctuation or by using advanced artificial intelligence models trained to recognize such relationships.

Why it matters: Filed before the widespread adoption of large language models. Modern LLMs could significantly enhance the accuracy and scalability of causality extraction, which was a major challenge in 2017.

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Not in forceListed as no longer active.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, NLP, machine learning expertise

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