Papers by Khonzoda Umarova
Current Semantic-change Quantification Methods Struggle with Semantic Change Discovery in the Wild (2025.emnlp-main)
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| Challenge: | Existing methods for lexical semantic-change detection quantify changes in the meaning of words over time. |
| Approach: | They propose to use a top-k setup to evaluate semantic-change discovery despite lacking complete annotations on a battery of semantic-changing detection methods. |
| Outcome: | The proposed setup extends the annotations in the commonly used LiverpoolFC and SemEval-EN benchmarks by 85% and 90%. |