Joint Verification and Reranking for Open Fact Checking Over Tables

TL;DR

This paper introduces a joint reranking and verification model for open-domain fact checking over tables, effectively utilizing multiple tables and outperforming heuristic baselines, thus advancing structured data verification.

Contribution

It presents a novel joint reranking-verification approach for open-domain table fact checking, integrating evidence fusion and demonstrating competitive performance.

Findings

Achieves performance comparable to closed-domain state-of-the-art on TabFact.

Shows significant gains from multiple tables inclusion.

Outperforms heuristic retrieval baseline.

Abstract

Structured information is an important knowledge source for automatic verification of factual claims. Nevertheless, the majority of existing research into this task has focused on textual data, and the few recent inquiries into structured data have been for the closed-domain setting where appropriate evidence for each claim is assumed to have already been retrieved. In this paper, we investigate verification over structured data in the open-domain setting, introducing a joint reranking-and-verification model which fuses evidence documents in the verification component. Our open-domain model achieves performance comparable to the closed-domain state-of-the-art on the TabFact dataset, and demonstrates performance gains from the inclusion of multiple tables as well as a significant improvement over a heuristic retrieval baseline.