Named Entity Recognition and Classification on Historical Documents: A Survey
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Abstract (arXiv)
After decades of massive digitisation, an unprecedented amount of historical documents is available in digital format, along with their machine-readable texts. While this represents a major step forward with respect to preservation and accessibility, it also opens up new opportunities in terms of content mining and the next fundamental challenge is to develop appropriate technologies to efficiently search, retrieve and explore information from this 'big data of the past'. Among semantic indexing opportunities, the recognition and classification of named entities are in great demand among humanities scholars. Yet, named entity recognition (NER) systems are heavily challenged with diverse, historical and noisy inputs. In this survey, we present the array of challenges posed by historical documents to NER, inventory existing resources, describe the main approaches deployed so far, and identify key priorities for future developments.
Key facts. Cited by 47 papers in the map (data through 7 Oct 2026). Builds on 36 of its 253 references that are in the map. First posted on arXiv 23 Sep 2021.
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36 of 253 references.
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Citing papers per year: 2022: 1; 2023: 6; 2024: 11; 2025: 17; 2026: 12.
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- 2025Context-Aware Pragmatic Metacognitive Prompting for Sarcasm Detection26 Nov 2025
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- 2025Named Entity Recognition of Historical Texts via Large Language Model25 Aug 2025
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- 2025MariNER: A Dataset for Historical Brazilian Portuguese Named Entity Recognition29 Jun 2025
- 2025Creating a Historical Migration Dataset from Finnish Church Records, 1800-19209 Jun 2025
- 2025Evaluating Named Entity Recognition Models for Russian Cultural News Texts: From BERT to LLM3 Jun 2025
- 2025Named Entity Recognition in Historical Italian: The Case of Giacomo Leopardi's Zibaldone26 May 2025
- 2025Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical Documents1 Apr 2025
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- 2025HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in Hanja21 Jan 2025
- 2025Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models8 Jan 2025
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- 2023Yes but.. Can ChatGPT Identify Entities in Historical Documents?cited by 10
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12 most cited of 45 All 45 (JSON)
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- 2026ICDAR 2026 HIPE-OCRepair Competition on LLM-Assisted OCR Post-Correction for Historical Documents9 Jul 2026
- 2026SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models3 Jun 2026
- 2026From Traditional Taggers to LLMs: A Comparative Study of POS Tagging for Medieval Romance Languages9 May 2026
- 2026From Historical Tabular Image to Knowledge Graphs: A Provenance-Aware Modular Pipeline6 May 2026
- 2026ATLAS: Article Tracking, Linking, and Analysis of Swedish Encyclopedias4 May 2026
- 2026Rethinking Publication: A Certification Framework for AI-Enabled Research23 Apr 2026
- 2026ENEIDE: A High Quality Silver Standard Dataset for Named Entity Recognition and Linking in Historical Italian31 Mar 2026
- 2026EDDA-Coordinata: An Annotated Dataset of Historical Geographic Coordinates27 Feb 2026
- 2026A Dataset for Named Entity Recognition and Relation Extraction from Art-historical Image Descriptions22 Feb 2026
- 2026It's All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using Large Language Models13 Jan 2026
12 newest of 45 All 45 (JSON)