mlsanityData to 13 Oct 2026

A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains

arXiv 1906.02979 ↗First posted 7 Jun 2019cs.CLcited by 31

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Abstract (arXiv)

We perform an interdisciplinary large-scale evaluation for detecting lexical semantic divergences in a diachronic and in a synchronic task: semantic sense changes across time, and semantic sense changes across domains. Our work addresses the superficialness and lack of comparison in assessing models of diachronic lexical change, by bringing together and extending benchmark models on a common state-of-the-art evaluation task. In addition, we demonstrate that the same evaluation task and modelling approaches can successfully be utilised for the synchronic detection of domain-specific sense divergences in the field of term extraction.

Key facts. Cited by 31 papers in the map (data through 13 Oct 2026). First posted on arXiv 7 Jun 2019.

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2021: 12; 2022: 6; 2023: 3; 2024: 5; 2025: 2; 2026: 3.

31 papers.

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  1. 2021Time Masking for Temporal Language Modelscited by 46
  2. 2021Explaining and Improving BERT Performance on Lexical Semantic Change Detectioncited by 34
  3. 2021Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corporacited by 21
  4. 2022Temporal Attention for Language Modelscited by 21
  5. 2022Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slangcited by 15
  6. 2021Statistically significant detection of semantic shifts using contextual word embeddingscited by 14
  7. 2021Lexical Semantic Change Discoverycited by 13
  8. 2022LSCDiscovery: A shared task on semantic change discovery and detection in Spanishcited by 11
  9. 2024Robustness of Large Language Models to Perturbations in Textcited by 11
  10. 2022NorDiaChange: Diachronic Semantic Change Dataset for Norwegiancited by 7
  11. 2022Do Not Fire the Linguist: Grammatical Profiles Help Language Models Detect Semantic Changecited by 7
  12. 2023Evolving linguistic divergence on polarizing social mediacited by 6
19 more
  1. 2024Survey in Characterizing Semantic Changecited by 5
  2. 2021Lexical semantic change for Ancient Greek and Latincited by 4
  3. 2021Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detectioncited by 4
  4. 2021DRIFT: A Toolkit for Diachronic Analysis of Scientific Literaturecited by 4
  5. 2021On the Universality of Deep Contextual Language Modelscited by 4
  6. 2022Mixed-effects transformers for hierarchical adaptationcited by 2
  7. 2023Large Language Models on Lexical Semantic Change Detection: An Evaluationcited by 2
  8. 2024The LSCD Benchmark: a Testbed for Diachronic Word Meaning Taskscited by 2
  9. 2025Words as Bridges: Exploring Computational Support for Cross-Disciplinary Translation Workcited by 2
  10. 2021Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Taskscited by 1
  11. 2024Tracking Semantic Change in Slovene: A Novel Dataset and Optimal Transport-Based Distancecited by 1
  12. 2026Improving Interpretability of Lexical Semantic Change with Neurobiological Featurescited by 1
  13. 2021DUKweb: Diachronic word representations from the UK Web Archive corpuscited by 0
  14. 2021Text analysis and deep learning: A network approachcited by 0
  15. 2023A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Modelscited by 0
  16. 2024Values That Are Explicitly Present in Fairy Tales: Comparing Samples from German, Italian and Portuguese Traditionscited by 0
  17. 2025Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddingscited by 0
  18. 2026Rethinking Metrics for Lexical Semantic Change Detectioncited by 0
  19. 2026Controlling and Assessing Appropriate Persona Use in LLM-based Dialogue Generationcited by 0