Utilizing Large Language Models for Information Extraction from Real Estate Transactions

Autor:	Zhao, Yu, Gao, Haoxiang
Rok vydání:	2024
Předmět:	Computer Science - Computation and Language Computer Science - Information Retrieval Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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 of large language models, specifically transformer-based architectures, for automated information extraction from real estate contracts. We discuss challenges, techniques, and future directions in leveraging these models to improve efficiency and accuracy in real estate contract analysis.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2404.18043 Zobrazit plný text záznamu View this record from Arxiv