mlsanityData to 14 Oct 2026

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

arXiv 2202.01178 ↗First posted 29 Jan 2022cs.CL cs.IRcited by 0

Not on the map. Why?

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.

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

1 of 6 references.

References · 1

  1. 2020CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documentscited by 98

Built on by

Not cited yet.