Papers by Laurent Dubreuil
Disentangling language change: sparse autoencoders quantify the semantic evolution of indigeneity in French (2025.naacl-long)
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Jacob A. Matthews, Laurent Dubreuil, Imane Terhmina, Yunci Sun, Matthew Wilkens, Marten Van Schijndel
| Challenge: | Existing methods to measure semantic change with contextual word embeddings (CWEs) are not suitable for highly imbalanced datasets and pose challenges for interpretation. |
| Approach: | They propose an interpretable, feature-level approach to analyzing language change using k-sparse autoencoders to trace the semantic evolution of the term "indigène(s)" between 1825 and 1950. |
| Outcome: | The proposed approach can learn interpretable features from over 210,000 CWEs generated using sentences from the French National Library. |