A Natural Language Processing Tool to Support the Electronic Invoicing Process in Italy
Abstract
The use of electronic invoices helps to reduce the amount of paper used to store transaction information and offers many benefits to the companies. Indeed, it allows to speed the process, improve the efficiency, and reduce the environmental externalities. In addition, the availability of real-data on business operations ensures the timely detection of fraudulent transactions. However, the electronic invoicing process requires that all the invoices are converted to a standard electronic format, specified by local governments. In this work, we present a software tool developed to support the invoice dematerialization process in Italy. The implemented system is based on the named entity recognition model, a natural language processing technique capable of identifying the structure of the documents and automatically extrapolating the information. The developed tool has been tested by an Italian company. The results obtained are encouraging.
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AI systems might be applied for aims outside the legitimate scope for which they were introduced.
“they may be used for purposes beyond the legitimate scope that motivated their introduction, 10”
From Towards eXplainable Artificial Intelligence (XAI) in Tax Law: The Need for a Minimum Legal Standard (2022) · cites this paper as [10]
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Towards eXplainable Artificial Intelligence (XAI) in Tax Law: The Need for a Minimum Legal Standard
Kuźniacki, B., Almada, M., Tyliński, K., Górski, L., Winogradska, B., & Zeldenrust, R. (2022) · World Tax Journal · doi:10.59403/2yhh9pa · Cited by 31 · see citing works
Requirements for Tax XAI Under Constitutional Principles and Human Rights
Kuzniacki, B., Almada, M., Tyliński, K., & Górski, Ł. (2022) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-15565-9_14 · Cited by 14 · see citing works
- Authors
- Di Puglia Pugliese, L., Guerriero, F., Macrina, G., & Messina, E.
- Affiliations
- Istituto di Calcolo e Reti ad Alte Prestazioni, Consiglio Nazionale delle Ricerche,Rende,Italy
- University of Calabria (IT)
- University of Milano-Bicocca (IT)
- Venue
- 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
- Publisher
- IEEE
- Published
- 2021-09-22
- Pages
- 397-402
- OpenAlex
- W4206089556
- Cited by
- 11
- References
- 10
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 2 · 2022: 4 · 2021: 2
- FWCI
- 0.65
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) (publishedVersion)
- BOA (University of Milano-Bicocca) (submittedVersion)
- Archive of Doctoral Theses and Digital Collections (University of Calabria) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Handwritten Text Recognition Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Keywords
- electronic invoicing, named entity recognition, document structure recognition, fraud detection
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