AI model for analyzing construction litigation precedents to support decision-making

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction Pub Date : 2024-10-10 DOI:10.1016/j.autcon.2024.105824

Wonkyoung Seo , Youngcheol Kang

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引用次数: 0

Abstract

Litigation among stakeholders in construction projects has a significantly negative impact on successful project completion and overall performance. Prompt decision-making in relation to litigation is crucial, but the manual review of extensive document sets is time-consuming. In this paper, the natural language processing (NLP) technique was applied to litigation data to develop a model for case summarization and winner prediction. By automatically summarizing the data and predicting litigation outcomes, the proposed model aids practitioners in making timely decisions and enhances document management during disputes. This paper contributes to existing knowledge in two ways. Firstly, the model aids practitioners in making timely decisions about proceeding with litigation. Secondly, unlike previous studies that manually processed raw data such as contracts and specifications, this study utilized NLP to process raw litigation case data automatically. As big data becomes increasingly common, the methodology employed in this study holds academic significance.

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用于分析建筑诉讼先例以支持决策的人工智能模型

建筑项目中利益相关者之间的诉讼对项目的顺利完成和整体绩效有很大的负面影响。及时做出与诉讼相关的决策至关重要，但人工审查大量文件集非常耗时。本文将自然语言处理（NLP）技术应用于诉讼数据，开发了一个用于案件总结和胜诉者预测的模型。通过自动总结数据和预测诉讼结果，所提出的模型可帮助从业人员及时做出决策，并加强争议期间的文档管理。本文在两个方面对现有知识做出了贡献。首先，该模型有助于从业人员及时做出诉讼决策。其次，与以往人工处理合同和说明书等原始数据的研究不同，本研究利用 NLP 自动处理原始诉讼案件数据。随着大数据的日益普及，本研究采用的方法具有重要的学术意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Automation in Construction 工程技术-工程：土木

CiteScore

19.20

自引率

16.50%

发文量

563

审稿时长

8.5 months

期刊介绍： Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.