column-type-annotation

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YRL-AIDA / RuTaBERT

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

language tabular-data transformers pytorch language-model bert russian-language semantic-table-interpretation column-type-annotation table-processor column-classification russian-language-tables

Updated Dec 24, 2024
Python

YRL-AIDA / CoLeM

Star

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

tabular-data pytorch language-model tables semantic-annotation semantic-table-interpretation self-supervised-learning contrastive-learning column-type-annotation column-classification

Updated Dec 16, 2024
Python

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.

wikipedia dataset tables russian-language semantic-table-interpretation column-type-annotation web-tables

Updated Dec 6, 2024
Jupyter Notebook

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