Utilizing Large Language Models for Information Extraction from Real Estate Transactions
<|reference_start|>Utilizing Large Language Models for Information Extraction from Real Estate Transactions: 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.<|reference_end|>
@article{zhao2024utilizing,
    title={Utilizing Large Language Models for Information Extraction from Real
  Estate Transactions},
    author={Yu Zhao, Haoxiang Gao},
    journal={arXiv preprint arXiv:2404.18043},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.18043},
    primaryClass={cs.CL cs.IR cs.LG}
}