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.

国土安全以及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。计算机取证和文学研究等领域对有效的作者归属提出了更多的需求。然而，尽管在这一领域对方法论研究的需求越来越大，但至今还没有用于作者归属的标准测试套件，因此没有达成一致的方法来比较研究结果和验证技术。这种情况，再加上该领域高度跨学科的性质，导致了许多多余的研究，有时甚至是不合理的研究。因此，本项目的目标是制定用于作者归属研究的语料库标注标准和程序，并评估此类研究的结果。为此，PIS正在开发一个带有关于电子邮件作者和收件人的信息(包括身份和社会人口信息)的大型电子邮件语料库，以及一套基于该语料库的试验床归因任务。语料库将成为研究界评估工作的基础，该评估工作作为该项目的一部分，有三个目的？为今后的著作权研究提供基线结果，整合目前不同的研究界，最重要的是，确保由此产生的著作权语料库注释标准和评价程序的质量。