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和有效的方法来自动识别匿名文件的作者。对有效的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，尽管这一领域的方法学研究需求明显且不断增长，但目前还没有作者归属的标准测试套件，因此没有一致同意的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，导致了许多多余的，有时是不健全的研究。因此，本项目的目标是制定用于作者归属研究和评估研究结果的标注语料库的标准和程序。为此，pi正在开发一个大型电子邮件语料库，其中注释了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），以及一套基于该语料库的测试平台归因任务。该语料库将构成一个研究界评估活动的基础，该活动作为项目的一部分正在运行，它有三个目的？为未来的作者身份研究提供基线结果，整合当前多样化的研究社区，最重要的是，确保最终作者身份语料库注释标准和评估程序的质量。