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
- 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)
- Losing My Composure: Predicting Compositionality Over Time — 2026 · arXiv:2607.11667
- Open Korean Historical Corpus: A Millennia-Scale Diachronic Collection of Public Domain Texts — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- 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)
- SiDiaC-v.2.0: Sinhala Diachronic Corpus Version 2.0 — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- 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)
- 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
- A Hypothesis-Driven Framework for Detecting Lexical Semantic Change — 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
- 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)
- Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matrices — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- ConShift: Sense-based Language Variation Analysis using Flexible Alignment — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- Improving Interpretability of Lexical Semantic Change with Neurobiological Features — 2025 · Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation
- 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)
- Multi-word Measures: Modeling Semantic Change in Compound Nouns — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- SCDTour: Embedding Axis Ordering and Merging for Interpretable Semantic Change Detection — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- 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)
- Computational modeling of semantic change — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts
- Detection of Non-recorded Word Senses in English and Swedish — 2024 · arXiv:2403.02285
- 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
- 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
- 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
- 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)
- Can Word Sense Distribution Detect Semantic Changes of Words? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- 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)
- Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis — our card · 2023 · ACL 2023 (Toronto)
- The Finer They Get: Combining Fine-Tuned Models For Better Semantic Change Detection — 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
- Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Variance Matters: Detecting Semantic Differences without Corpus/Word Alignment — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Contextualized embeddings for semantic change detection: Lessons learned — 2022 · Northern European Journal of Language Technology
- Infinite SCAN: An Infinite Model of Diachronic Semantic Change — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- KoCHET: A Korean Cultural Heritage Corpus for Entity-related Tasks — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- The Lexometer: A Shiny Application for Exploratory Analysis and Visualization of Corpus Data — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- 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
- 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
- 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
- DiaSense at SemEval-2020 Task 1: Modeling Sense Change via Pre-trained BERT Embeddings — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
- GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
- 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
- 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
- SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
- SenseCluster at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation