Nepali Passport Question Answering: A Low-Resource Dataset for Public Service Applications
The episode discusses the paper "Nepali Passport Question Answering," which addresses data scarcity in public service applications. Researchers created a pair-structured QA dataset using web scraping and manual verification. They then implemented advanced embedding models like E5 to achieve semantic understanding, demonstrating a framework that outperforms traditional search methods for reliable service delivery.