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ID: tabulardata
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Few-Shot Table Understanding: A Benchmark Dataset and Pre-Training Baseline
AbstractFew-shot table understanding is a critical and challenging problem in real-world scenario as annotations over large amount of tables are usually costly. Pre-trained language models (PLMs), which have recently flourished …...
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AbstractNeural models command state-of-the-art performance across NLP tasks, including ones involving “reasoning”. Models claiming to reason about the evidence presented to them should attend to the correct parts of the …...