mlsanityData to 7 Oct 2026

FiNER-ORD: Financial Named Entity Recognition Open Research Dataset

arXiv 2302.11157 ↗First posted 22 Feb 2023cs.CL cs.IRcited by 17

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Abstract (arXiv)

Over the last two decades, the development of the CoNLL-2003 named entity recognition (NER) dataset has helped enhance the capabilities of deep learning and natural language processing (NLP). The finance domain, characterized by its unique semantic and lexical variations for the same entities, presents specific challenges to the NER task; thus, a domain-specific customized dataset is crucial for advancing research in this field. In our work, we develop the first high-quality English Financial NER Open Research Dataset (FiNER-ORD). We benchmark multiple pre-trained language models (PLMs) and large-language models (LLMs) on FiNER-ORD. We believe our proposed FiNER-ORD dataset will open future opportunities to use FiNER-ORD as a benchmark for financial domain-specific NER and NLP tasks. Our dataset, models, and code are publicly available on GitHub and Hugging Face under CC BY-NC 4.0 license.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Builds on 11 of its 27 references that are in the map. First posted on arXiv 22 Feb 2023.

Builds on

11 of 27 references.

References · 11

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
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  5. 2020LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attentioncited by 326
  6. 2019Dice Loss for Data-imbalanced NLP Taskscited by 180
  7. 2021Few-NERD: A Few-Shot Named Entity Recognition Datasetcited by 150
  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. 2022FiNER: Financial Numeric Entity Recognition for XBRL Taggingcited by 47
  11. 2020SPot: A tool for identifying operating segments in financial tablescited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 4; 2024: 5; 2025: 4; 2026: 4.

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  1. 2023PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Financecited by 217
  2. 2024A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challengescited by 86
  3. 2023UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognitioncited by 70
  4. 2024Open-FinLLMs: Open Multimodal Large Language Models for Financial Applicationscited by 36
  5. 2024FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Modelscited by 32
  6. 2025Plutus: Benchmarking Large Language Models in Low-Resource Greek Financecited by 16
  7. 2025FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoningcited by 15
  8. 2023Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Taskscited by 14
  9. 2023FinEntity: Entity-level Sentiment Classification for Financial Textscited by 14
  10. 2024No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarkscited by 7
  11. 2026The CLEF-2026 FinMMEval Lab: Multilingual and Multimodal Evaluation of Financial AI Systemscited by 2
  12. 2026Cross-LLM Consistency in Inference: Evidence from Shared Interactionscited by 1
5 more
  1. 2024Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extractioncited by 0
  2. 2025Who Is the Story About? Protagonist Entity Recognition in Newscited by 0
  3. 2025Is GPT-OSS All You Need? Benchmarking Large Language Models for Financial Intelligence and the Surprising Efficiency Paradoxcited by 0
  4. 2026A Hybrid Method for Low-Resource Named Entity Recognitioncited by 0
  5. 2026Reliable Financial Named Entity Recognition Under Domain Shift: Confidence Estimation and Selective Predictioncited by 0