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HomeImplementing dictionaries of regulatory concepts and reporting obligations by assisted machine learning
Final report
Implementing dictionaries of regulatory concepts and reporting obligations by assisted machine learning
Final report
Publication metadata
This document reports on the project Implementing dictionaries of regulatory concepts and reporting obligations by assisted machine learning (FISMA 2019:050/E). The project has the following objectives: 1. Cover the entire body of legislation in the scope of DG FISMA. The solution needs to be scalable to new documents. 2. Build a glossary of concepts (words or phrases) and identify their definitions. This glossary must extend and be coherent with the existing FISMA Taxonomy. 3. Build a dictionary of reporting obligations laid out in the covered corpus of documents (such an obligation states who needs to report, what needs to be reported on, etc.). The dictionary must be coherent with the existing FISMA Taxonomy. 4. Make sure accuracy of the compiled dictionaries approximates 100% by combining automation with human assistance. 5. Extend existing tools of the contracting authority (CA) and where necessary design and develop new tools to use the dictionaries in practical work of the CA. It should be possible to easily integrate these tools in the CA’s digital ecosystem.
- Published:
- Corporate author(s): Crosslang , Directorate-General for Financial Stability, Financial Services and Capital Markets Union (European Commission) , IDLab , Milieu
- Themes: Information — Documentation , Information technology and telecommunications
- Subject: dictionary , documentary tool , information storage and retrieval , legislation , machine learning , report , search engine
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| ISSN | ISBN 978-92-76-42382-9 | DOI 10.2874/771121 | Catalogue number EV-07-21-012-EN-N |
- Released on EU Publications:
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