DocuBot : Generating financial reports using natural language interactions
Vineeth Ravi, Selim Amrouni, Andrea Stefanucci, Armineh Nourbakhsh,, Prashant Reddy, Manuela Veloso

TL;DR
DocuBot is an AI-powered virtual assistant that streamlines financial report creation by modeling natural language interactions as skills, enabling automated, reusable, and adaptive report generation with demonstrated industry value.
Contribution
This paper introduces DocuBot, a novel system that models natural language interactions as skills for automated and adaptive financial report generation, enhancing efficiency and accuracy.
Findings
DocuBot effectively automates report creation with real and simulated users.
It learns domain-specific vocabulary through user interactions.
Experiments show significant time savings and reduced errors.
Abstract
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…
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Taxonomy
TopicsTopic Modeling · Natural Language Processing Techniques · Artificial Intelligence in Games
