The article introduces FAQ-Gen, a system designed to generate Frequently Asked Questions (FAQs) tailored to specific domains to aid in content comprehension. This is achieved through the use of Natural Language Processing (NLP) and text-to-text transformation models. The system also employs self-curated algorithms for optimal representation of information and ranking question-answer pairs. The generated FAQs are evaluated to be well-constructed, readable, and effective in highlighting domain-specific nuances and jargon.
Publication date: 8 Feb 2024
Project Page: https://arxiv.org/abs/2402.05812v1
Paper: https://arxiv.org/pdf/2402.05812
