# Information Extraction through AI techniques: The KIDs use case at CONSOB

arXiv: https://arxiv.org/abs/2202.01178 · HTML: https://mlsanity.com/paper/2202.01178/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 6 references that are in the map.
- First posted on arXiv 29 Jan 2022.

## Builds on (most cited first, 1 of 1)

- [CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents](https://mlsanity.com/paper/2004.12629/) (2020)

## Abstract (arXiv)

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.