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Who cites «CCOHA: Clean Corpus of Historical American English»

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

  1. Cross-lingual and Word-Independent Methods for Quantifying Degree of Grammaticalization — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. Losing My Composure: Predicting Compositionality Over Time — 2026 · arXiv:2607.11667
  3. Open Korean Historical Corpus: A Millennia-Scale Diachronic Collection of Public Domain Texts — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  4. 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)
  5. SiDiaC-v.2.0: Sinhala Diachronic Corpus Version 2.0 — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  6. The SlangTrack Dataset: Supporting the Detection of Words Used in Slang Senses — 2026 · The Proceedings for the 6th International Workshop on Computational Approaches to Language Change (LChange'26)
  7. WoVis: Interactive Visualization of Word Embeddings for Semantic Change in Historical and Dialectal Language Resources — 2026 · Proceedings of the First Workshop on Dialects in NLP –- A Resource Perspective
  8. A Hypothesis-Driven Framework for Detecting Lexical Semantic Change — 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
  9. A New Formulation of Zipf's Meaning-Frequency Law through Contextual Diversity — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  10. Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matrices — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  11. ConShift: Sense-based Language Variation Analysis using Flexible Alignment — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  12. Improving Interpretability of Lexical Semantic Change with Neurobiological Features — 2025 · Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation
  13. Modeling the Evolution of English Noun Compounds with Feature-Rich Diachronic Compositionality Prediction — our card · 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  14. Multi-word Measures: Modeling Semantic Change in Compound Nouns — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  15. SCDTour: Embedding Axis Ordering and Merging for Interpretable Semantic Change Detection — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  16. A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  17. Computational modeling of semantic change — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts
  18. Detection of Non-recorded Word Senses in English and Swedish — 2024 · arXiv:2403.02285
  19. Diachronic change in verb usage statistics predicts differences in sentence processing across the lifespan — 2024 · Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics
  20. Toward Sentiment Aware Semantic Change Analysis — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
  21. Visualising Changes in Semantic Neighbourhoods of English Noun Compounds over Time — 2024 · Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities
  22. What Can Diachronic Contexts and Topics Tell Us about the Present-Day Compositionality of English Noun Compounds? — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  23. Can Word Sense Distribution Detect Semantic Changes of Words? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  24. Classifying Noun Compounds for Present-Day Compositionality: Contributions of Diachronic Frequency and Productivity Patterns — 2023 · Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)
  25. Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis — our card · 2023 · ACL 2023 (Toronto)
  26. The Finer They Get: Combining Fine-Tuned Models For Better Semantic Change Detection — 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
  27. Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  28. Variance Matters: Detecting Semantic Differences without Corpus/Word Alignment — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  29. Contextualized embeddings for semantic change detection: Lessons learned — 2022 · Northern European Journal of Language Technology
  30. Infinite SCAN: An Infinite Model of Diachronic Semantic Change — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  31. KoCHET: A Korean Cultural Heritage Corpus for Entity-related Tasks — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  32. The Lexometer: A Shiny Application for Exploratory Analysis and Visualization of Corpus Data — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  33. DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  34. Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  35. BOS at SemEval-2020 Task 1: Word Sense Induction via Lexical Substitution for Lexical Semantic Change Detection — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
  36. DiaSense at SemEval-2020 Task 1: Modeling Sense Change via Pre-trained BERT Embeddings — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
  37. GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
  38. IMS at SemEval-2020 Task 1: How Low Can You Go? Dimensionality in Lexical Semantic Change Detection — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
  39. SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
  40. SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
  41. SenseCluster at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation