mlsanityData to 7 Oct 2026

Short-Term Meaning Shift: A Distributional Exploration

arXiv 1809.03169 ↗First posted 10 Sep 2018cs.CLcited by 23

Not on the map. Why?

Abstract (arXiv)

We present the first exploration of meaning shift over short periods of time in online communities using distributional representations. We create a small annotated dataset and use it to assess the performance of a standard model for meaning shift detection on short-term meaning shift. We find that the model has problems distinguishing meaning shift from referential phenomena, and propose a measure of contextual variability to remedy this.

Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Sep 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 7; 2023: 5; 2024: 3; 2025: 1; 2026: 1.

23 papers.

Sort:

By area:

  1. 2022TimeLMs: Diachronic Language Models from Twittercited by 129
  2. 2021Time Masking for Temporal Language Modelscited by 46
  3. 2022Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shiftscited by 27
  4. 2021Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corporacited by 21
  5. 2022Temporal Attention for Language Modelscited by 21
  6. 2023A Survey on Contextualised Semantic Shift Detectioncited by 21
  7. 2022TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Mediacited by 19
  8. 2022Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Changecited by 18
  9. 2022BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Informationcited by 17
  10. 2021Statistically significant detection of semantic shifts using contextual word embeddingscited by 14
  11. 2023SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Researchcited by 9
  12. 2022Do Not Fire the Linguist: Grammatical Profiles Help Language Models Detect Semantic Changecited by 7
11 more
  1. 2023textitSwap and Predict -- Predicting the Semantic Changes in Words across Corpora by Context Swappingcited by 6
  2. 2024A Semantic Distance Metric Learning approach for Lexical Semantic Change Detectioncited by 5
  3. 2024Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Modelscited by 5
  4. 2023Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twittercited by 3
  5. 2021The challenges of temporal alignment on Twitter during crisescited by 2
  6. 2024CHEW: A Dataset of CHanging Events in Wikipediacited by 1
  7. 2025Identifying Emerging Concepts in Large Corporacited by 1
  8. 2026Improving Interpretability of Lexical Semantic Change with Neurobiological Featurescited by 1
  9. 2021We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semanticscited by 0
  10. 2021Diachronic Text Mining Investigation of Therapeutic Candidates for COVID-19cited by 0
  11. 2023WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs Datasetcited by 0