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Tabular question answering (TQA) presents a challenging setting for neural systems by requiring joint reasoning of natural language with large amounts of semi-structured data.
Mechanisms of sentence processing: Assigning roles to constituents of sentences
James L. McClelland and David E. Rumelhart. 1986 · 1986
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Predicting query performance
Stephen Cronen-Townsend, Yun Zhou, and W. Bruce Croft. 2002 · 2002
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Word-level confidence estimation for machine translation using phrase-based translation models
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Compositional generalization for neural semantic parsing via span-level supervised attention
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Large language models are few(1)-shot table reasoners
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