REVIEW 3 cited by
Tracing the Development of the Virtual Particle Concept Using Semantic Change Detection
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
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.
Forward citations
Cited by 3 Pith papers
-
Trajectories of Change: Approaches for Tracking Knowledge Evolution
A computational framework combining Kullback-Leibler divergence and embedding density estimation traces individual scholars' language against disciplinary knowledge evolution in 20th-century general relativity research.
-
Astro-HEP-BERT: A bidirectional language model for studying the meanings of concepts in astrophysics and high energy physics
This paper introduces Astro-HEP-BERT, a BERT model adapted to astrophysics and high-energy physics text, plus a large arXiv-based corpus, as a low-cost tool for studying conceptual change in science.
-
Meaning at the Planck scale? Contextualized word embeddings for doing history, philosophy, and sociology of science
Domain-adapted BERT models distinguish senses of 'Planck' better than general models, and reveal the rise of the Planck mission meaning in physics papers.
Discussion (0). Continue with ORCID to comment.