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  4. Anonymization of German financial documents using neural network-based language models with contextual word representations
 
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March 2022
Journal Article
Title

Anonymization of German financial documents using neural network-based language models with contextual word representations

Abstract
The automatization and digitalization of business processes have led to an increase in the need for efficient information extraction from business documents. However, financial and legal documents are often not utilized effectively by text processing or machine learning systems, partly due to the presence of sensitive information in these documents, which restrict their usage beyond authorized parties and purposes. To overcome this limitation, we develop an anonymization method for German financial and legal documents using state-of-the-art natural language processing methods based on recurrent neural nets and transformer architectures. We present a web-based application to anonymize financial documents and a large-scale evaluation of different deep learning techniques.
Author(s)
Biesner, David  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Ramamurthy, Rajkumar  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Loitz, Rüdiger
PriceWaterhouseCoopers GmbH WPG, Germany
Lübbering, Max  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Hillebrand, Lars Patrick  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Ladi, Anna  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Stenzel, Robin
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Pielka, Maren  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Bauckhage, Christian  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Sifa, Rafet  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Journal
International journal of data science and analytics  
Project(s)
ML2R
Funder
Bundesministerium für Bildung und Forschung -BMBF-  
Open Access
File(s)
N-644021.pdf (787.61 KB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.24406/publica-r-271147
10.1007/s41060-021-00285-x
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • neural nets

  • transformers

  • BERT

  • RNN

  • financial documents

  • anonymization

  • sequence tagging

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