Denoising Table-Text Retrieval for Open-Domain Question Answering

arXiv:2403.17611v1 Announce Type: new
Abstract: In table-text open-domain question answering, a retriever system retrieves relevant evidence from tables and text to answer questions. Previous studies in table-text open-domain question answering have two common challenges: firstly, their retrievers can be affected by false-positive labels in training datasets; secondly, they may struggle to provide appropriate evidence for questions that require reasoning across the table. To address these issues, we propose Denoised Table-Text Retriever (DoTTeR). Our approach involves utilizing a denoised training dataset …

arxiv cs.ai cs.cl denoising domain question question answering retrieval table text type