mlsanityData to 7 Oct 2026

A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications

arXiv 2406.06052 ↗First posted 10 Jun 2024cs.CLcited by 3

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Abstract (arXiv)

Historical linguists have identified multiple forms of lexical semantic change. We present a three-dimensional framework for integrating these forms and a unified computational methodology for evaluating them concurrently. The dimensions represent increases or decreases in semantic 1) sentiment, 2) breadth, and 3) intensity. These dimensions can be complemented by the evaluation of shifts in the frequency of the target words and the thematic content of its collocates. This framework enables lexical semantic change to be mapped economically and systematically and has applications in computational social science. We present an illustrative analysis of semantic shifts in mental health and mental illness in two corpora, demonstrating patterns of semantic change that illuminate contemporary concerns about pathologization, stigma, and concept creep.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 27 of its 95 references that are in the map. First posted on arXiv 10 Jun 2024.

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27 of 95 references.

References · 27

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15 more
  1. 2016Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Changecited by 63
  2. 2018Survey of Computational Approaches to Lexical Semantic Changecited by 60
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Citing papers per year: 2025: 3.

3 papers.

  1. 2025SCDTour: Embedding Axis Ordering and Merging for Interpretable Semantic Change Detectioncited by 4
  2. 2025Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matricescited by 3
  3. 2025LSC-Eval: A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Datacited by 1