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  4. Towards automating Numerical Consistency Checks in Financial Reports
 
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2022
Conference Paper
Title

Towards automating Numerical Consistency Checks in Financial Reports

Abstract
We introduce KPI-Check, a novel system that automatically identifies and cross-checks semantically equivalent key performance indicators (KPIs), e.g. "revenue"or "total costs", in real-world German financial reports. It combines a financial named entity and relation extraction module with a BERT-based filtering and text pair classification component to extract KPIs from unstructured sentences before linking them to synonymous occurrences in the balance sheet and profit & loss statement. The tool achieves a high matching performance of 73.00% micro F1 on a hold out test set and is currently being deployed for a globally operating major auditing firm to assist the auditing procedure of financial statements.
Author(s)
Hillebrand, Lars Patrick  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Deußer, Tobias  orcid-logo
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Dilmaghani, Tim
Kliem, Bernd
Loitz, Rüdiger
Bauckhage, Christian  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Sifa, Rafet  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Mainwork
IEEE International Conference on Big Data 2022. Proceedings  
Conference
International Conference on Big Data 2022  
Open Access
DOI
10.1109/BigData55660.2022.10020308
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • fact checking

  • machine learning

  • natural language processing

  • outlier detection

  • text mining

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