# Table Semantic Understanding

TAPAS is a BERT-like model based on the Transformer architecture, specifically designed for processing tabular data and related text, pretrained in a self-supervised manner on Wikipedia table data.

TAPAS is a BERT-based Transformer model specifically designed for processing tabular data. It is pre-trained on English Wikipedia tables through self-supervised learning and fine-tuned on the TabFact dataset to verify whether a sentence is supported or refuted by table content.

A table understanding model based on BERT architecture, pretrained on Wikipedia table data through self-supervised learning, supporting table question answering and statement verification tasks

TAPAS is a table-based pre-trained language model specifically designed for processing tabular data and related queries.