This invention describes a computer system that generates natural language responses to customer inquiries. It analyzes past customer-agent conversations, breaking down sentences into their grammatical structure to create reusable 'templates' of common responses, particularly for problem-solution scenarios. When a new inquiry arrives, the system identifies a suitable template and uses words from the original conversations to construct a relevant answer.
Why it matters: Filed before large language models (LLMs) could generate fluent natural language. The structured linguistic information and templates described could now be used to guide or fine-tune LLMs for more precise, domain-specific response generation, or LLMs could automate the template creation process.
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