Emerging events, such as the COVID pandemic and the Ukraine Crisis, require a time-sensitive comprehensive understanding of the situation to allow for appropriate decision-making and effective action response. Automated generation of situation reports can significantly reduce the time, effort, and cost for domain experts when preparing their official human-curated reports. However, AI research toward this goal has been very limited, and no successful trials have yet been conducted to automate such report generation. We propose SmartBook, a novel task formulation targeting situation report generation, which consumes large volumes of news data to produce a structured situation report with multiple hypotheses (claims) summarized and grounded with rich links to factual evidence. We realize SmartBook for the Ukraine-Russia crisis by automatically generating intelligence analysis reports to assist expert analysts. The machine-generated reports are structured in the form of timelines, with each timeline organized by major events (or chapters), corresponding strategic questions (or sections) and their grounded summaries (or section content). Our proposed framework automatically detects real-time event-related strategic questions, which are more directed than manually-crafted analyst questions, which tend to be too complex, hard to parse, vague and high-level. Results from thorough qualitative evaluations show that roughly 82% of the questions in Smartbook have strategic importance, with at least 93% of the sections in the report being tactically useful. Further, experiments show that expert analysts tend to add more information into the SmartBook reports, with only 2.3% of the existing tokens being deleted, meaning SmartBook can serve as a useful foundation for analysts to build upon when creating intelligence reports.
翻译:新兴事件,例如 COVID 疫情和乌克兰危机,需要及时全面地了解形势,以便进行适当的决策和有效的行动响应。自动化生成的情报报告可以显着减少领域专家在准备官方的人工策划报告时所需的时间、精力和成本。然而,AI 朝着这个目标的研究非常有限,尚未进行任何成功的试验来自动化此类报告的生成。我们提出了 SmartBook,一种新颖的任务规划,旨在生成态势报告,它消费大量新闻数据,以产生具有多个假设(声明)的结构化态势报告,并与丰富的事实证据联系起来。我们通过自动生成情报分析报告来实现 SmartBook,以协助专家分析师。机器生成的报告以时间线形式结构化,每个时间线都由主要事件(或章节)、相应的战略问题(或部分)和其基础摘要(或部分内容)组成。我们的拟议框架自动检测与事件相关的实时战略问题,这比手工制作的分析师问题更有针对性,手工制作的问题往往过于复杂、难以解析、模糊和高层次。彻底的定性评估结果显示,Smartbook 中约 82% 的问题具有战略重要性,报告中至少有 93% 的部分具有战术上的用途。此外,实验结果表明,专家分析师倾向于将更多信息添加到 SmartBook 报告中,只删除了现有令牌的 2.3%,这意味着 SmartBook 可以为分析师构建情报报告提供有用的基础。