Utilizing Large Language Models for Information Extraction from Real Estate Transactions

• DOI: 10.48550/arxiv.2404.18043
• Publication Date: 2024-04-27
• Authors: Yu Zhao; Haoxiang Gao
• Keywords: FOS: Computer and information sciences; Computer Science - Machine Learning; Computer Science - Computation and Language; Computation and Language (cs.CL); Information Retrieval (cs.IR); Computer Science - Information Retrieval; Machine Learning (cs.LG)

Real estate sales contracts contain crucial information for property transactions, but manual extraction of data can be time-consuming and error-prone. This paper explores the application large language models, specifically transformer-based architectures, automated from real contracts. We discuss challenges, techniques, future directions in leveraging these models to improve efficiency accuracy contract analysis.