CrisisFACTS: Buidling and Evaluating Crisis Timelines

R. McCreadie, Cody Buntain, Ian Soboroff, Angela Ellis
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引用次数: 1

Abstract

Between 2018 and 2021, the Incident Streams track (TREC-IS) developed standard approaches for classifying information types and criticality of tweets during crises. While successful in producing substantial collections of labeled data, TREC-IS as a data challenge had several limitations: It only evaluated information at type-level rather than what was reported; it only used Twitter data; and it lacked measures of redundancy in system output. This paper introduces Crisis Facts and Cross-Stream Temporal Summarization (CrisisFACTS), a new data challenge piloted in 2022 and developed to address these limitations. The CrisisFACTS framework recasts TREC-IS into an event-summarization task using multiple disaster-relevant data streams and a new fact-based evaluation scheme, allowing the community to assess state-of-the-art methods for summarizing disaster events Results from CrisisFACTS in 2022 include a new test-collection comprising human-generated disaster summaries along with multi-platform datasets of social media, crisis reports and news coverage for major crisis events.
危机事实:建立和评估危机时间表
在2018年至2021年期间,事件流轨道(TREC-IS)开发了对危机期间推文的信息类型和严重性进行分类的标准方法。虽然TREC-IS成功地收集了大量的标记数据,但作为一个数据挑战,它有几个局限性:它只评估类型级别的信息,而不是报告的信息;它只使用Twitter的数据;而且它在系统输出中缺乏冗余度量。本文介绍了危机事实和跨流时间汇总(CrisisFACTS),这是一项新的数据挑战,于2022年试点,旨在解决这些限制。CrisisFACTS框架使用多个灾害相关数据流和新的基于事实的评估方案,将TREC-IS重塑为事件总结任务,使社区能够评估总结灾害事件的最先进方法。2022年的CrisisFACTS结果包括一个新的测试集,其中包括人工生成的灾害摘要以及社交媒体、危机报告和重大危机事件新闻报道的多平台数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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