Challenges and Future Development of Question Answering Systems in the Construction Industry

作者：Zixuan Zhou, Xincong Yang, Qingren Mi, Jian-An Wang · 年份：2023 · DOI：10.1061/9780784485217.057 · 被引用次数：5 · 研究领域：Expert finding and Q&A systems、Topic Modeling、Speech and dialogue systems

Recently, question answering (QA) systems have gained widespread adoption in numerous aspects of daily life. These systems are designed to provide accurate and timely answers by simply posing a question. Given massive amounts of unstructured data in the construction industry, QA systems could serve as a potent tool for designers and engineers to access the knowledge and experiences in a straightforward and intuitive manner, thereby reducing communication challenges and enhancing productivity. The latest generation of QA systems, ChatGPT, seems to be knowledgeable and often provides well-informed, authoritative, and imaginative answers, which could potentially revolutionize the traditional construction sector. To provide theoretical support and practical guidance for the application of QA systems in the construction field, this paper initially reviews the classification of QA systems; then summaries the existing application achievements; and finally, comprehensively synthesized the main challenges and the future development of QA systems in the construction industry.