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home / docs / papers / cited-by / Who cites «MacBERTh: Development and Evaluation of a Historically Pre-trained Language Model for English (1450-1950)»

Who cites «MacBERTh: Development and Evaluation of a Historically Pre-trained Language Model for English (1450-1950)»

22 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

  1. PortOldBERT: Portuguese Historical Language Models — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. Smelling the Past: Investigating Historical Models for Olfactory Event Extraction — 2026 · Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA 2026) @ LREC 2026
  3. A Comparative Study of Static and Contextual Embeddings for Analyzing Semantic Changes in Medieval Latin Charters — 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages
  4. Language Models Lack Temporal Generalization and Bigger is Not Better — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  5. The InviTE Corpus: Annotating Invectives in Tudor English Texts for Computational Modeling — 2025 · arXiv:2509.22345
  6. Development and Evaluation of Pre-trained Language Models for Historical Danish and Norwegian Literary Texts — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  7. A Massive Scale Semantic Similarity Dataset of Historical English — our card · 2023 · arXiv:2306.17810
  8. Towards Detecting Lexical Change of Hate Speech in Historical Data — 2023 · Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change
  9. A Multilingual Benchmark to Capture Olfactory Situations over Time — 2022 · Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change
  10. BERToldo, the Historical BERT for Italian — 2022 · Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages
  11. Non-Parametric Word Sense Disambiguation for Historical Languages — 2022 · Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities
  12. anuradha-2025-holobert-pre-trained-transformer-model
  13. boscher-2024-sense-lm-synergy-between-language
  14. boscher-2025-enhancing-low-resource-text-classification
  15. chang-2026-language-models-as-measurement-apparatus
  16. dejaeghere-2024-exploring-aspect-based-sentiment-analysis
  17. delsol-2024-immortal-cows-nouvelle-france-reflections
  18. hoeken-2026-prompting-across-time-evaluating-llms
  19. jenkins-2026-losing-my-composure-predicting-compositionality
  20. meyer-2025-don-t-stop-pretraining-efficiently
  21. paccosi-2024-benchmarking-semantics-taste-automatic-extraction
  22. rosa-2023-alberti-multilingual-domain-specific-language

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