mlsanityData to 14 Oct 2026

Financial Numeric Extreme Labelling: A Dataset and Benchmarking for XBRL Tagging

arXiv 2306.03723 ↗First posted 6 Jun 2023cs.CL cs.AI cs.CEcited by 12

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Abstract (arXiv)

The U.S. Securities and Exchange Commission (SEC) mandates all public companies to file periodic financial statements that should contain numerals annotated with a particular label from a taxonomy. In this paper, we formulate the task of automating the assignment of a label to a particular numeral span in a sentence from an extremely large label set. Towards this task, we release a dataset, Financial Numeric Extreme Labelling (FNXL), annotated with 2,794 labels. We benchmark the performance of the FNXL dataset by formulating the task as (a) a sequence labelling problem and (b) a pipeline with span extraction followed by Extreme Classification. Although the two approaches perform comparably, the pipeline solution provides a slight edge for the least frequent labels.

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 9 of its 30 references that are in the map. First posted on arXiv 6 Jun 2023.

Builds on

9 of 30 references.

References · 9

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2013Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Textscited by 310
  3. 2018AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classificationcited by 102
  4. 2022ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcriptscited by 59
  5. 2022FiNER: Financial Numeric Entity Recognition for XBRL Taggingcited by 50
  6. 2021EDGAR-CORPUS: Billions of Tokens Make The World Go Roundcited by 32
  7. 2019Financial Event Extraction Using Wikipedia-Based Weak Supervisioncited by 11
  8. 2019Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Predictioncited by 6
  9. 2022A Generative Approach for Financial Causality Extractioncited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 2; 2025: 7; 2026: 2.

12 papers.

  1. 2024FinBen: A Holistic Financial Benchmark for Large Language Modelscited by 141
  2. 2024A Survey of Large Language Models in Finance (FinLLMs)cited by 79
  3. 2023FinEntity: Entity-level Sentiment Classification for Financial Textscited by 14
  4. 2025FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMscited by 14
  5. 2025FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasetscited by 12
  6. 2025Bridging Language Models and Financial Analysiscited by 4
  7. 2025Finance Language Model Evaluation (FLaME)cited by 4
  8. 2025HiFi-KPI: A Dataset for Hierarchical KPI Extraction from Earnings Filingscited by 1
  9. 2025FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Datacited by 1
  10. 2025RKEFino1: A Regulation Knowledge-Enhanced Large Language Modelcited by 1
  11. 2026Noise-Robust Financial Numerical Entity Attribute Taggingcited by 0
  12. 2026Recognition Is Not Grounding: Benchmarking Multilingual Financial Evidence Extractioncited by 0