Auto-AdvER: Disentangling Condition, History, and Commercial Offers in Automotive Advertisements
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The paper "InsurTech innovation using natural language processing" outlines how insurance firms are adopting NLP to convert unstructured text into structured data for actuarial analysis. It presents case studies that use alternative data from an InsurTech partner to demonstrate feature de‑biasing, compression, and new industry classification methods in commercial insurance. These techniques enhance traditional rating factors and provide fresh risk assessment perspectives, positioning NLP as a core component of contemporary insurance analytics.
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