CRI: CRD: Collaborative Research: Community Resources for Authorship Attribution Research

CRI：CRD：协作研究：作者归属研究的社区资源

• 批准号: 0751087
• 负责人: Patrick Juola
• 金额: --
• 依托单位: Duquesne University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2011-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0751087&HistoricalAwards=false
• 关键词: CRI; CRD; Collaborative; Research; Community

Homeland security and the criminal and civil justice systems increasingly require reliable and valid methods for automatically identifying the authors of anonymous documents. Further demand for effective author attribution arises from fields as diverse as computer forensics and literary studies. However, despite the clear and growing need for methodological research in this area, there are as yet no standard test suites for authorship attribution, and hence no agreed upon ways to compare research results and validate techniques. This situation, combined with the highly interdisciplinary nature of the field, has led to much redundant and sometimes unsound research.The goal of this project, therefore, is to develop standards and procedures for annotating corpora for use in authorship attribution research and evaluating the results of such research. To this end, the PIs are developing both a large corpus of emails annotated with information about email authors and recipients (including both identity and sociodemographic information), and a suite of testbed attribution tasks based on this corpus. The corpus will form the basis of a research community evaluation exercise which is being run as part of the project, which serves three purposes ? providing baseline results for future authorship research, integrating the currently diverse research community, and most importantly, ensuring the quality of the resulting authorship corpus annotation standards and evaluation procedures.

国土安全、刑事和民事司法系统越来越需要可靠有效的方法来自动识别匿名文件的作者。对有效作者归属的进一步需求来自计算机取证和文学研究等不同领域。然而，尽管在这一领域的方法研究的明确和日益增长的需求，还没有标准的测试套件的作者归属，因此没有商定的方法来比较研究结果和验证技术。这种情况，加上该领域的高度跨学科的性质，导致了许多多余的，有时是不健全的research.The项目的目标，因此，是制定标准和程序，用于标注语料库的作者归属研究和评估的结果，这样的研究。 为此，PI正在开发一个大型的电子邮件语料库，其中注释了有关电子邮件作者和收件人的信息（包括身份和社会人口统计信息），以及一套基于此语料库的测试床归因任务。 该语料库将形成一个研究社区评估工作的基础，该工作是作为该项目的一部分进行的，该项目有三个目的。为未来的作者研究提供基线结果，整合目前多样化的研究社区，最重要的是，确保最终的作者语料库注释标准和评估程序的质量。