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CoLeM
PublicCoLeM framework is a table model based on contrastive learning techniques for solving the problem of Column Type Annotation.RuTaBERT-Dataset
PublicDataset 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.PageR
PublicIIC-doc
PublicTables_Header_Seaker
PublicPrecisionPDF
PublicRuTaBERT
PublicRuTaBERT is a model solving the problem of Column Type Annotation with pre-trained large language model (BERT), trained on the Russian corpus.homoglyph_correction
Publicsample-data-scraper
Public