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SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection

arXiv 2007.11464 ↗First posted 22 Jul 2020cs.CLcited by 105

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Abstract (arXiv)

Lexical Semantic Change detection, i.e., the task of identifying words that change meaning over time, is a very active research area, with applications in NLP, lexicography, and linguistics. Evaluation is currently the most pressing problem in Lexical Semantic Change detection, as no gold standards are available to the community, which hinders progress. We present the results of the first shared task that addresses this gap by providing researchers with an evaluation framework and manually annotated, high-quality datasets for English, German, Latin, and Swedish. 33 teams submitted 186 systems, which were evaluated on two subtasks.

Key facts. Cited by 105 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Jul 2020.

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Citing papers per year: 2021: 18; 2022: 13; 2023: 14; 2024: 29; 2025: 12; 2026: 19.

105 papers.

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  1. 2023Can Large Language Models Transform Computational Social Science?cited by 245
  2. 2021Time Masking for Temporal Language Modelscited by 46
  3. 2021Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into Sensescited by 39
  4. 2021Explaining and Improving BERT Performance on Lexical Semantic Change Detectioncited by 33
  5. 2024Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Researchcited by 26
  6. 2021DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languagescited by 25
  7. 2022Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semanticscited by 24
  8. 2022Temporal Attention for Language Modelscited by 21
  9. 2023A Survey on Contextualised Semantic Shift Detectioncited by 21
  10. 2024A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Changecited by 21
  11. 2022Contextualized language models for semantic change detection: lessons learnedcited by 20
  12. 2023Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysiscited by 19
38 more
  1. 2022BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Informationcited by 17
  2. 2021Challenges for Computational Lexical Semantic Changecited by 15
  3. 2021Statistically significant detection of semantic shifts using contextual word embeddingscited by 14
  4. 2022Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slangcited by 14
  5. 2021Lexical Semantic Change Discoverycited by 13
  6. 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligencecited by 13
  7. 2024Time Awareness in Large Language Models: Benchmarking Fact Recall Across Timecited by 12
  8. 2021Three-part diachronic semantic change dataset for Russiancited by 11
  9. 2022HistBERT: A Pre-trained Language Model for Diachronic Lexical Semantic Analysiscited by 11
  10. 2022LSCDiscovery: A shared task on semantic change discovery and detection in Spanishcited by 11
  11. 2024Robustness of Large Language Models to Perturbations in Textcited by 11
  12. 2021Grammatical Profiling for Semantic Change Detectioncited by 10
  13. 2023Can Word Sense Distribution Detect Semantic Changes of Words?cited by 10
  14. 2024Graph-based Clustering for Detecting Semantic Change Across Time and Languagescited by 10
  15. 2023Substitution-based Semantic Change Detection using Contextual Embeddingscited by 9
  16. 2023Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddingscited by 8
  17. 2022NorDiaChange: Diachronic Semantic Change Dataset for Norwegiancited by 7
  18. 2022Do Not Fire the Linguist: Grammatical Profiles Help Language Models Detect Semantic Changecited by 7
  19. 2022RuDSI: graph-based word sense induction dataset for Russiancited by 7
  20. 2023The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Changecited by 7
  21. 2024(Chat)GPT v BERT: Dawn of Justice for Semantic Change Detectioncited by 7
  22. 2024Analyzing Semantic Change through Lexical Replacementscited by 7
  23. 2024Using Synchronic Definitions and Semantic Relations to Classify Semantic Change Typescited by 7
  24. 2024Definition generation for lexical semantic change detectioncited by 7
  25. 2023Evolving linguistic divergence on polarizing social mediacited by 6
  26. 2023textitSwap and Predict -- Predicting the Semantic Changes in Words across Corpora by Context Swappingcited by 6
  27. 2024Towards Automating Text Annotation: A Case Study on Semantic Proximity Annotation using GPT-4cited by 6
  28. 2024Survey in Characterizing Semantic Changecited by 5
  29. 2024A Semantic Distance Metric Learning approach for Lexical Semantic Change Detectioncited by 5
  30. 2024Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Modelscited by 5
  31. 2021Lexical semantic change for Ancient Greek and Latincited by 4
  32. 2021Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detectioncited by 4
  33. 2021Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018cited by 4
  34. 2021On the Universality of Deep Contextual Language Modelscited by 4
  35. 2024Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changescited by 4
  36. 2024Semantic Change Characterization with LLMs using Rhetoricscited by 4
  37. 2025Pretraining Language Models for Diachronic Linguistic Change Discoverycited by 4
  38. 2025SCDTour: Embedding Axis Ordering and Merging for Interpretable Semantic Change Detectioncited by 4

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