mlsanityData to 13 Oct 2026

Challenges for Computational Lexical Semantic Change

arXiv 2101.07668 ↗First posted 19 Jan 2021cs.CLcited by 16

Not on the map. Why?

Abstract (arXiv)

The computational study of lexical semantic change (LSC) has taken off in the past few years and we are seeing increasing interest in the field, from both computational sciences and linguistics. Most of the research so far has focused on methods for modelling and detecting semantic change using large diachronic textual data, with the majority of the approaches employing neural embeddings. While methods that offer easy modelling of diachronic text are one of the main reasons for the spiking interest in LSC, neural models leave many aspects of the problem unsolved. The field has several open and complex challenges. In this chapter, we aim to describe the most important of these challenges and outline future directions.

Key facts. Cited by 16 papers in the map (data through 13 Oct 2026). Builds on 21 of its 120 references that are in the map. First posted on arXiv 19 Jan 2021.

Builds on

21 of 120 references.

References · 21

  1. 2018Deep contextualized word representationscited by 2,286
  2. 2016Diachronic Word Embeddings Reveal Statistical Laws of Semantic Changecited by 220
  3. 2020SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detectioncited by 106
  4. 2020Analysing Lexical Semantic Change with Contextualised Word Representationscited by 92
  5. 2014Statistically Significant Detection of Linguistic Changecited by 82
  6. 2016Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Changecited by 63
  7. 2018Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processingcited by 63
  8. 2018Survey of Computational Approaches to Lexical Semantic Changecited by 61
  9. 2014Temporal Analysis of Language through Neural Language Modelscited by 54
  10. 2017Dynamic Word Embeddingscited by 51
  11. 2018Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Changecited by 35
  12. 2019Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Changecited by 33
9 more
  1. 2015Characterizing the Google Books corpus: Strong limits to inferences of socio-cultural and linguistic evolutioncited by 15
  2. 2017On the Linearity of Semantic Change: Investigating Meaning Variation via Dynamic Graph Modelscited by 11
  3. 2019GASC: Genre-Aware Semantic Change for Ancient Greekcited by 10
  4. 2020Simulating Lexical Semantic Change from Sense-Annotated Datacited by 6
  5. 2020IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detectioncited by 5
  6. 2017German in Flux: Detecting Metaphoric Change via Word Entropycited by 4
  7. 2019Semantic Change and Semantic Stability: Variation is Keycited by 4
  8. 2017Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participantscited by 2
  9. 2020Detecting New Word Meanings: A Comparison of Word Embedding Models in Spanishcited by 1

Built on by

Cited by year (2026 to 13 Oct)

Citing papers per year: 2021: 5; 2022: 2; 2023: 1; 2024: 5; 2025: 2; 2026: 1.

16 papers.

Sort:

By area:

  1. 2021Explaining and Improving BERT Performance on Lexical Semantic Change Detectioncited by 34
  2. 2023A Survey on Contextualised Semantic Shift Detectioncited by 21
  3. 2022Contextualized language models for semantic change detection: lessons learnedcited by 20
  4. 2021Lexical Semantic Change Discoverycited by 13
  5. 2022LSCDiscovery: A shared task on semantic change discovery and detection in Spanishcited by 11
  6. 2024Survey in Characterizing Semantic Changecited by 5
  7. 2021Lexical semantic change for Ancient Greek and Latincited by 4
  8. 2021Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detectioncited by 4
  9. 2021From Plenipotentiary to Puddingless: Users and Uses of New Words in Early English Letterscited by 4
  10. 2024Semantic Change Characterization with LLMs using Rhetoricscited by 4
  11. 2024A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applicationscited by 3
  12. 2024AXOLOTL'24 Shared Task on Multilingual Explainable Semantic Change Modelingcited by 3
4 more
  1. 2025LSC-Eval: A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Datacited by 2
  2. 2025Hybrid Retrieval-Augmented Generation for Robust Multilingual Document Question Answeringcited by 2
  3. 2024From cart to truck: meaning shift through words in English in the last two centuriescited by 0
  4. 2026The BD-LSC Dataset: Facilitating the Benchmarking of Models for Lexical Semantic Change Detection in Slang and Standard Usagecited by 0