Information Extraction through AI techniques: The KIDs use case at CONSOB
arXiv:2202.01178v1
Originality Synthesis-oriented
AI Analysis
This work addresses the need for automated document processing in financial regulation, but it appears incremental as it applies existing methods to a specific use case.
The paper tackled the problem of automating information extraction from financial instrument documents using both rule-based and machine learning methods, reporting initial results from a collaboration between Consob and Sapienza University.
In this paper we report on the initial activities carried out within a collaboration between Consob and Sapienza University. We focus on Information Extraction from documents describing financial instruments. We discuss how we automate this task, via both rule-based and machine learning-based methods and provide our first results.