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1. RuTaBERT RuTaBERT Public

   RuTaBERT is a model solving the problem of Column Type Annotation with pre-trained large language model (BERT), trained on the Russian corpus.

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2. PageR PageR Public

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3. CoLeM CoLeM Public

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

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4. RuTaBERT-Dataset RuTaBERT-Dataset Public

   Dataset from the authors of RuTaBERT and is based on the Russian Web Tables. Only relational tables were chosen from Russian Web Tables with headers matching their selected 170 DBpedia semantic types.

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5. PrecisionPDF PrecisionPDF Public

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6. OmniGraph OmniGraph Public

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