Papers by Kirill Tobola
CoLeM: A framework for semantic interpretation of Russian-language tables based on contrastive learning (2025.acl-srw)
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| Challenge: | Existing methods for semantic interpretation of tables in Russian lack explicit semantics . tabular data are one of the key formats for presenting structured information in various domains ranging from scientific research to business analytics. |
| Approach: | They propose a contrastive learning approach to minimize reliance on manual labeling and enhance the accuracy of column annotation for rare semantic types. |
| Outcome: | The proposed method minimizes reliance on manual labeling and improves column annotation accuracy for rare semantic types. |