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 learning based methods, and describe the performances of our approach.
Automatic Information Extraction from Investment Product Documents / Scafoglieri, Federico; Monaco, Alessandra; Neccia, Giulia; Lembo, Domenico; Limosani, Alessandra; Medda, Francesca. - 3194:(2022), pp. 77-84. (Intervento presentato al convegno 30th Italian Symposium on Advanced Database Systems (SEBD 2022) tenutosi a Tirrenia; (Pisa)).
Automatic Information Extraction from Investment Product Documents
Federico Scafoglieri;Giulia Neccia;Domenico Lembo
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2022
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 learning based methods, and describe the performances of our approach.| File | Dimensione | Formato | |
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Scafoglieri_Automatic_2022.pdf
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