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: 0751198
• 负责人: Shlomo Argamon
• 金额: --
• 依托单位: Illinois Institute of Technology
• 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=0751198&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.

国土安全和刑事和民事司法系统越来越需要可靠且有效的方法来自动识别匿名文件的作者。对有效作者归因的进一步需求来自与计算机取证和文学研究一样多样化的领域。但是，尽管在该领域对方法论研究的需求越来越明显，但尚无作者归因的标准测试套件，因此尚未商定比较研究结果和验证技术的方法。这种情况加上该领域的高度跨学科性质，导致了很多多余的研究，有时甚至是不谋求的研究。 为此，PI正在开发大量的电子邮件，其中包括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学信息），以及基于此语料库的一套测试床归因任务。 该语料库将构成研究社区评估活动的基础，该研究正在作为该项目的一部分进行，该项目有三个目的？为未来的作者研究提供基线结果，整合了当前多样化的研究社区，最重要的是，确保了由此产生的作者资格语料库注释标准和评估程序的质量。