ReFRAME or Remain: Unsupervised Lexical Semantic Change Detection with Frame Semantics
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866909011012485120 |
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| author | Phan-Tat, Bach Heylen, Kris Geeraerts, Dirk De Pascale, Stefano Speelman, Dirk |
| author_facet | Phan-Tat, Bach Heylen, Kris Geeraerts, Dirk De Pascale, Stefano Speelman, Dirk |
| contents | The majority of contemporary computational methods for lexical semantic change (LSC) detection are based on neural embedding distributional representations. Although these models perform well on LSC benchmarks, their results are often difficult to interpret. We explore an alternative approach that relies solely on frame semantics. We show that this method is effective for detecting semantic change and can even outperform many distributional semantic models. Finally, we present a detailed quantitative and qualitative analysis of its predictions, demonstrating that they are both plausible and highly interpretable |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_04514 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | ReFRAME or Remain: Unsupervised Lexical Semantic Change Detection with Frame Semantics Phan-Tat, Bach Heylen, Kris Geeraerts, Dirk De Pascale, Stefano Speelman, Dirk Computation and Language The majority of contemporary computational methods for lexical semantic change (LSC) detection are based on neural embedding distributional representations. Although these models perform well on LSC benchmarks, their results are often difficult to interpret. We explore an alternative approach that relies solely on frame semantics. We show that this method is effective for detecting semantic change and can even outperform many distributional semantic models. Finally, we present a detailed quantitative and qualitative analysis of its predictions, demonstrating that they are both plausible and highly interpretable |
| title | ReFRAME or Remain: Unsupervised Lexical Semantic Change Detection with Frame Semantics |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2602.04514 |