论文标题
使用NLP将法律协议转换为智能法律合同
Conversion of Legal Agreements into Smart Legal Contracts using NLP
论文作者
论文摘要
智能法律合同（SLC）是一项专业的数字协议，包括自然语言和可计算的组件。 Accord项目提供了一个开源SLC框架，其中包含三个主要模块：Cicero，Concerto和Ergo。目前，我们需要律师，程序员和客户来努力使用Accord项目创建可用的SLC。本文建议使用几种自然语言处理（NLP）模型自动化SLC创建过程的管道，以将法律合同转换为Accord Project的协奏曲模型。在评估了提出的管道后，我们发现我们的NER管道以0.8的精度从Accord Project模板文本中准确检测到Ciceromark。此外，我们的问答方法可以从模板文本中提取协奏变量的三分之一。我们还深入研究了拟议管道的一些局限性和未来的研究。最后，我们描述了一个Web接口，使用户能够构建SLC。该接口利用建议的管道将文本文档通过使用NLP模型将文本文档转换为智能法律合同。
A Smart Legal Contract (SLC) is a specialized digital agreement comprising natural language and computable components. The Accord Project provides an open-source SLC framework containing three main modules: Cicero, Concerto, and Ergo. Currently, we need lawyers, programmers, and clients to work together with great effort to create a usable SLC using the Accord Project. This paper proposes a pipeline to automate the SLC creation process with several Natural Language Processing (NLP) models to convert law contracts to the Accord Project's Concerto model. After evaluating the proposed pipeline, we discovered that our NER pipeline accurately detects CiceroMark from Accord Project template text with an accuracy of 0.8. Additionally, our Question Answering method can extract one-third of the Concerto variables from the template text. We also delve into some limitations and possible future research for the proposed pipeline. Finally, we describe a web interface enabling users to build SLCs. This interface leverages the proposed pipeline to convert text documents to Smart Legal Contracts by using NLP models.
