mlsanityData to 7 Oct 2026

Towards automating Numerical Consistency Checks in Financial Reports

arXiv 2211.06112 ↗First posted 11 Nov 2022cs.CL cs.AI cs.LGcited by 2

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 15 of its 39 references that are in the map. First posted on arXiv 11 Nov 2022.

Builds on

15 of 39 references.

References · 15

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  3. 2020LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attentioncited by 326
  4. 2017Deep Learning is Robust to Massive Label Noisecited by 164
  5. 2020Named Entity Recognition as Dependency Parsingcited by 150
  6. 2019Span-based Joint Entity and Relation Extraction with Transformer Pre-trainingcited by 132
  7. 2020Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoderscited by 87
  8. 2020Automated Concatenation of Embeddings for Structured Predictioncited by 86
  9. 2021Improving Named Entity Recognition by External Context Retrieving and Cooperative Learningcited by 76
  10. 2020A Frustratingly Easy Approach for Entity and Relation Extractioncited by 37
  11. 2021A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extractioncited by 26
  12. 2022KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reportscited by 19
3 more
  1. 2019FAKTA: An Automatic End-to-End Fact Checking Systemcited by 13
  2. 2020Deeper Task-Specificity Improves Joint Entity and Relation Extractioncited by 6
  3. 2021Autoencoder-based Anomaly Detection in Smart Farming Ecosystemcited by 3

Built on by

Cited by year

Citing papers per year: 2023: 2.

2 papers.