By encoding tables as graphs and selecting answer cells directly with a pointer network, a transformer-style GNN reaches 55.1% accuracy on the SQA conversational table QA benchmark, beating the prior 45.6% state of the art.
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Answering Conversational Questions on Structured Data without Logical Forms
By encoding tables as graphs and selecting answer cells directly with a pointer network, a transformer-style GNN reaches 55.1% accuracy on the SQA conversational table QA benchmark, beating the prior 45.6% state of the art.