RuTaBERT is a framework for solving column type and property annotation problems based on fine-tuning a pre-trained language model (e.g., BERT) using a large-scale corpus of Russian-language tables.

CoLeM framework is a table model based on contrastive learning techniques for solving the problem of Column Type Annotation.

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