Transparent Semantic Change Detection with Dependency-Based Profiles
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Acceso en línea: | |
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| _version_ | 1866911642171736064 |
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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 | Most modern computational approaches to lexical semantic change detection (LSC) rely on embedding-based distributional word representations with neural networks. Despite the strong performance on LSC benchmarks, they are often opaque. We investigate an alternative method which relies purely on dependency co-occurrence patterns of words. We demonstrate that it is effective for semantic change detection and even outperforms a number of distributional semantic models. We provide an in-depth quantitative and qualitative analysis of the predictions, showing that they are plausible and interpretable. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_02891 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Transparent Semantic Change Detection with Dependency-Based Profiles Phan-Tat, Bach Heylen, Kris Geeraerts, Dirk De Pascale, Stefano Speelman, Dirk Computation and Language Most modern computational approaches to lexical semantic change detection (LSC) rely on embedding-based distributional word representations with neural networks. Despite the strong performance on LSC benchmarks, they are often opaque. We investigate an alternative method which relies purely on dependency co-occurrence patterns of words. We demonstrate that it is effective for semantic change detection and even outperforms a number of distributional semantic models. We provide an in-depth quantitative and qualitative analysis of the predictions, showing that they are plausible and interpretable. |
| title | Transparent Semantic Change Detection with Dependency-Based Profiles |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2601.02891 |