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今天，许多人，包括新闻分析师，民意测验专家，广告商和政府法规作者，需要解释，结构，并迅速掌握大量的意见为基础的文本。 需要进行新的研究来开发文本处理工具，以便对大型文本集进行高级分析。 这项研究将建立在当前的文本处理技术，如文本聚类，使用信息检索的文本搜索，和提取摘要，建立和测试工具，以适应在电子规则制定环境中工作的政府人员的具体需求。这个项目的重点是联邦政府的几千名法规起草者，他们受雇于大约200个机构，他们以严格的脚本程序制定规则和法规，定义我们法律的细节。 这个项目将试图解决语言处理研究的几个新问题。 反过来，它将部署和评估一个规则编写者的工具;一套语言工具，使法规编写者，单独或联合，以获得详细和多方面的概述材料。 .这项研究有可能影响远远超出IT和社会科学学术界。 它将探讨作者类型，意见/影响确定和近重复检测等新问题。 即使只有少数新技术是有效的，它们最终也可能帮助成千上万的法规制定者更有效地与我们日益数字化的社会中数百万公民的意见进行沟通和理解，并为我们所有人制定更好的监管规则。

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.