Publication | Closed Access
Towards automating Numerical Consistency Checks in Financial Reports
12
Citations
22
References
2022
Year
EngineeringKnowledge ExtractionBusiness IntelligenceAuditing ProcedureVerificationSemantic WebFormal VerificationCorpus LinguisticsText MiningNumerical Consistency ChecksNatural Language ProcessingAuditingData ConsistencyInformation RetrievalData ScienceComputational LinguisticsFinancial AccountingNamed-entity RecognitionAccountingQuantitative FinanceKnowledge DiscoveryTerminology ExtractionConsistency TechnologyInformation ExtractionFinanceFinancial AnalyticsNovel SystemData ValidationTest SetFormal MethodsBusinessKeyword ExtractionFinancial Engineering
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 F <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</inf> 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.
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