Linking External Sources to Legal Contracts using Semantic Similarity

使用语义相似性将外部来源链接到法律合同

• 批准号: 490729-2015
• 负责人: Keselj, Vlado
• 金额: $ 1.66万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=586596
• 关键词: Linking; External; Sources; Legal; Contracts

This project addresses the problem of automated processing of signed contracts in corporate environment. The industrial collaborator, the PACTA company, helps companies keep track of their signed contracts across teams, departments, and organizations. The project is focused on the task of identifying external document sources that may affect the contracts, such as relevant legal documents. Our approach is based on segmentation of documents and contracts, and semantic similarity using web n-gram corpora. This word n-gram based approach would be fully unsupervised, and it is extensible to language other than English. This approach is based on the existing expertise of the Dalhousie research team. The ultimate goal is to accelerate and improve search ability to find most appropriate candidate documents that are strongly related to the contract, reducing human effort in the process. The project will have a clear and measurable impact on PACTA's functionality and value proposition. The collaboration with Dalhousie University will be of benefit to both parties in that it will allow PACTA to deliver a new and innovative functionality to users at a faster pace and Dalhousie University to get access to a corpus of commercial agreements for future research and development. The result of the research contained in this proposal will enable the company to expand the services offering to its clients, and thereby enhance its competitive position and increase export potential of the services.

该项目解决了在企业环境中自动处理已签署合同的问题。这 工业合作伙伴 PACTA 公司帮助企业跟踪其签署的合同 团队、部门和组织。该项目的重点是识别外部文档的任务 可能影响合同的来源，例如相关法律文件。我们的方法基于细分 文档和合同的分析，以及使用网络 n-gram 语料库的语义相似性。这个词基于n-gram 该方法将完全不受监督，并且可以扩展到英语以外的语言。这种方法是 基于达尔豪斯研究团队现有的专业知识。最终目标是加速和改进 搜索能力可以找到与合同密切相关的最合适的候选文档，从而减少 过程中人类的努力。该项目将对 PACTA 的功能和功能产生明显且可衡量的影响 价值主张。与达尔豪斯大学的合作对双方都有利，因为 允许 PACTA 以更快的速度向用户提供新的创新功能，并且达尔豪斯大学 获得用于未来研究和开发的商业协议库。结果 该提案中包含的研究将使公司能够扩大向客户提供的服务，并且 从而增强其竞争地位并增加服务的出口潜力。