UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Automatic Information Extraction from Investment Product Documents

Scafoglieri, FM; Monaco, A; Neccia, G; Lembo, D; Limosani, A; Medda, F; (2022) Automatic Information Extraction from Investment Product Documents. In: Proceedings of the 30th Italian Symposium on Advanced Database Systems. (pp. pp. 77-84). CEUR Workshop Proceedings (CEUR-WS.org): Tirrenia (PI), Italy. Green open access

[thumbnail of paper9.pdf]
Preview
PDF
paper9.pdf - Published Version

Download (1MB) | Preview

Abstract

In this paper we report on the activities carried out within a collaboration between Consob and Sapienza University. The developed project focus on Information Extraction from documents describing financial investment products. We discuss how we automate this task, via both rule-based and machine learningbased methods, and describe the performances of our approach.

Type: Proceedings paper
Title: Automatic Information Extraction from Investment Product Documents
Event: 30th Italian Symposium on Advanced Database Systems
Open access status: An open access version is available from UCL Discovery
Publisher version: http://ceur-ws.org/Vol-3194/paper9.pdf
Language: English
Additional information: © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
Keywords: Information Extraction, Financial documents, Financial Market Vigilance, Table Extraction
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10156406
Downloads since deposit
196Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item