Collaborative Research: Language Processing Technology for Electronic Rulemaking

合作研究：电子规则制定的语言处理技术

• 批准号: 0429293
• 负责人: Stuart Shulman
• 金额: --
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0429293&HistoricalAwards=false
• 关键词: Collaborative; Research; Language; Processing; Technology

Collaborative Research: Language Processing Technology for Electronic Rulemaking Many people today, including news analysts, opinion pollsters, advertisers, and government regulation writers need to interpret, structure, and rapidly master large quantities of opinion-based text. New research is needed to develop text-processing tools that can perform advanced analysis of large text collections. This research will build on current text processing technologies, such as text clustering, text searching using information retrieval, and extractive summaries, to build and test tools tailored to the specific needs of government personnel working in an electronic rulemaking environment. This project's focus is the federal government's several-thousand regulation writers, employed in some 200 agencies, who formulate, in a tightly scripted procedure, the rules and regulations that define the details of our laws. This project will attempt to solve several novel problems central to language processing research. In turn, it will deploy and evaluate a Rule-Writer's Workbench; a set of language tools that enables regulation writers, singly or jointly, to obtain a detailed and multidimensional overview of the material. . This research has the potential to impact far beyond IT and social science academia. It will explore such novel issues as author typing, opinion/affect determination, and near-duplicate detection. If even just a handful of the new technologies are effective, they eventually may help thousands of regulation writers more effectively communicate with and understand the comments of millions of citizens in our increasingly digitized society, and produce better regulatory rules for all of us.

协作研究：电子规则的语言处理技术制定当今许多人，包括新闻分析师、民意调查人员、广告商和政府法规编写者，都需要解释、组织和快速掌握大量基于意见的文本。需要新的研究来开发能够对大量文本集合进行高级分析的文本处理工具。这项研究将建立在当前的文本处理技术的基础上，如文本聚类、使用信息检索的文本搜索和摘要提取，以构建和测试适合在电子规则制定环境中工作的政府人员的特定需求的工具。这个项目的重点是联邦政府的数千名法规编写者，他们受雇于大约200个机构，他们以严格按照脚本编写的程序制定规则和条例，这些规则和条例定义了我们法律的细节。这个项目将试图解决语言处理研究的几个新问题。反过来，它将部署和评估规则编写者工作台；这是一套语言工具，使规则编写者能够单独或联合获得材料的详细和多维概述。。这项研究的影响可能远远超出IT和社会科学学术界。它将探索诸如作者分类、观点/影响确定和近乎重复的检测等新问题。即使只有一小部分新技术是有效的，它们最终也可能帮助数以千计的法规制定者更有效地与我们日益数字化的社会中的数百万公民沟通和理解他们的评论，并为我们所有人制定更好的监管规则。