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. 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)
3. 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
4. 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)
5. 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)
6. Computational modeling of semantic change — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts
7. Detection of Non-recorded Word Senses in English and Swedish — 2024 · arXiv:2403.02285
8. 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
9. 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
10. 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)
11. Can Word Sense Distribution Detect Semantic Changes of Words? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
12. 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)
13. Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis — our card · 2023 · ACL 2023 (Toronto)
14. Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
15. Variance Matters: Detecting Semantic Differences without Corpus/Word Alignment — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
16. Contextualized embeddings for semantic change detection: Lessons learned — 2022 · Northern European Journal of Language Technology
17. Infinite SCAN: An Infinite Model of Diachronic Semantic Change — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
18. KoCHET: A Korean Cultural Heritage Corpus for Entity-related Tasks — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
19. 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
20. 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
21. 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
22. DiaSense at SemEval-2020 Task 1: Modeling Sense Change via Pre-trained BERT Embeddings — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
23. 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
24. 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
25. SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
26. SenseCluster at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
27. aida-2025-scdtour-embedding-axis-ordering-merging
28. aloraini-2026-slangtrack-dataset-supporting-detection-words
29. arrington-2025-conshift-sense-based-language-variation
30. cain-2024-diachronic-change-verb-usage-statistics
31. cassotti-2020-gm-ctsc-semeval-2020-task
32. cassotti-2025-hypothesis-driven-framework-detecting-lexical
33. hai-2022-lexometer-shiny-application-exploratory-analysis
34. jayatilleke-2026-sidiac-v-2-0-sinhala
35. jenkins-2025-multi-word-measures-modeling-semantic
36. jenkins-2026-losing-my-composure-predicting-compositionality
37. kiyama-2025-analyzing-continuous-semantic-shifts-diachronic
38. nagata-2025-new-formulation-zipf-s-meaning
39. oda-2025-improving-interpretability-lexical-semantic-change
40. song-2026-open-korean-historical-corpus-millennia
41. zhou-2023-finer-they-get-combining-fine

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