论文标题

DoCubot:使用自然语言互动生成财务报告

DocuBot : Generating financial reports using natural language interactions

论文作者

Ravi, Vineeth, Amrouni, Selim, Stefanucci, Andrea, Nourbakhsh, Armineh, Reddy, Prashant, Veloso, Manuela

论文摘要

金融服务行业永远处理大量的复杂数据。数字报告通常是根据乏味的手动分析以及数据的潜在趋势和数据特征的可视化创建的。通常,创建这些报告时人类计算错误的应计成本非常高。我们提出了Docubot,这是一种新颖的AI驱动虚拟助手,用于通过将自然语言互动建模为“技能”并使用它们来转换基础数据,以创建和修改数字文档中的内容。 DoCubot具有凝集保存技能的能力以重复使用的能力,使人类能够自动生成经常性报告。 Docubot还具有通过与用户互动来连续学习特定于域和用户特定词汇的能力。我们提供的证据表明,DoCubot为金融业增加价值,并通过涉及负责创建PowerPoint演示文稿的真实和模拟用户的实验来证明其影响。

The financial services industry perpetually processes an overwhelming amount of complex data. Digital reports are often created based on tedious manual analysis as well as visualization of the underlying trends and characteristics of data. Often, the accruing costs of human computation errors in creating these reports are very high. We present DocuBot, a novel AI-powered virtual assistant for creating and modifying content in digital documents by modeling natural language interactions as "skills" and using them to transform underlying data. DocuBot has the ability to agglomerate saved skills for reuse, enabling humans to automatically generate recurrent reports. DocuBot also has the capability to continuously learn domain-specific and user-specific vocabulary by interacting with the user. We present evidence that DocuBot adds value to the financial industry and demonstrate its impact with experiments involving real and simulated users tasked with creating PowerPoint presentations.

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