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.
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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 |
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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 |




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