mlsanityData to 14 Oct 2026

Tracing the Development of the Virtual Particle Concept Using Semantic Change Detection

arXiv 2410.16855 ↗First posted 22 Oct 2024cs.CL physics.hist-phcited by 3

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Abstract (arXiv)

Virtual particles are peculiar objects. They figure prominently in much of theoretical and experimental research in elementary particle physics. But exactly what they are is far from obvious. In particular, to what extent they should be considered "real" remains a matter of controversy in philosophy of science. Also their origin and development has only recently come into focus of scholarship in the history of science. In this study, we propose using the intriguing case of virtual particles to discuss the efficacy of Semantic Change Detection (SCD) based on contextualized word embeddings from a domain-adapted BERT model in studying specific scientific concepts. We find that the SCD metrics align well with qualitative research insights in the history and philosophy of science, as well as with the results obtained from Dependency Parsing to determine the frequency and connotations of the term "virtual." Still, the metrics of SCD provide additional insights over and above the qualitative research and the Dependency Parsing. Among other things, the metrics suggest that the concept of the virtual particle became more stable after 1950 but at the same time also more polysemous.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 14 of its 39 references that are in the map. First posted on arXiv 22 Oct 2024.

Builds on

14 of 39 references.

References · 14

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
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  6. 2021Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into Sensescited by 39
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  10. 2023A Survey on Contextualised Semantic Shift Detectioncited by 22
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2 more
  1. 2024(Chat)GPT v BERT: Dawn of Justice for Semantic Change Detectioncited by 8
  2. 2024PhysBERT: A Text Embedding Model for Physics Scientific Literaturecited by 8

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Citing papers per year: 2024: 3.

3 papers.