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What is: TAPAS?

SourceTAPAS: Weakly Supervised Table Parsing via Pre-training
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

TAPAS is a weakly supervised question answering model that reasons over tables without generating logical forms. TAPAS predicts a minimal program by selecting a subset of the table cells and a possible aggregation operation to be executed on top of them. Consequently, TAPAS can learn operations from natural language, without the need to specify them in some formalism. This is implemented by extending BERT’s architecture with additional embeddings that capture tabular structure, and with two classification layers for selecting cells and predicting a corresponding aggregation operator.