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The TAPAS Transformer: Table Parsing with BERT

March 5, 2021 by Chris

TAPAS (Table Parser) is a weakly supervised Transformer-based question answering model that reasons over tables without generating logical forms. Instead, it predicts a minimal program by selecting a relevant subset of table cells + the most likely aggregation operator to be executed on top of these cells, jointly. This allows TAPAS to learn operations based on natural language without requiring some explicit formalism.

Hi, I'm Chris!

I know a thing or two about AI and machine learning. Welcome to MachineCurve.com, where machine learning is explained in gentle terms.