This invention describes a software system that helps analyze written information, particularly for insurance applications. It works by letting a user graphically define specific rules, like identifying key words or phrases, to spot important events or entities within text data. Once these 'semantic events' are found, the system updates a central database and shares the findings with various other software applications, such as those managing insurance claims or policies. The core of the system relies on a user-friendly visual interface for creating these text analysis rules.
Why it matters: Filed before the widespread adoption of large language models (LLMs), which can now perform named entity recognition and semantic event detection with greater flexibility. LLMs could automate or significantly enhance the rule creation and text evaluation processes described, potentially simplifying the system's core function or making the graphical interface a powerful tool for fine-tuning AI.
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