
A Confidence-based Knowledge Integration Framework for Cross-Domain Table Question Answering
KBS 2024
We propose a confidence-based knowledge integration framework that uses a two-stage deep-learning-based ranking technique to mitigate the low-confidence problem commonly associated with Seq2seq models for TableQA.