Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based Model

arXiv:2403.17361v1 Announce Type: new
Abstract: FEVEROUS is a benchmark and research initiative focused on fact extraction and verification tasks involving unstructured text and structured tabular data. In FEVEROUS, existing works often rely on extensive preprocessing and utilize rule-based transformations of data, leading to potential context loss or misleading encodings. This paper introduces a simple yet powerful model that nullifies the need for modality conversion, thereby preserving the original evidence's context. By leveraging pre-trained models on diverse text and tabular datasets …

abstract arxiv attention benchmark context cs.ai cs.cl data extraction loss research tabular tabular data tasks text textual type unstructured verification