The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Papers

TL;DR

This paper discusses the challenges and potential solutions for advancing scientific fact-checking by developing an advanced evidence retrieval system capable of handling complex, structured academic papers and multimodal scientific data.

Contribution

It identifies key research challenges in evidence retrieval for scientific fact-checking and proposes directions for developing specialized IR systems for full-text academic literature.

Findings

Preliminary experiments highlight the complexity of evidence retrieval from full papers.

Identified challenges include handling structured data, long-range context, and multimodal scientific expressions.

Proposed solutions aim to improve the accuracy and reliability of scientific fact-checking systems.

Abstract

Scientific fact-checking aims to determine the veracity of scientific claims by retrieving and analysing evidence from research literature. The problem is inherently more complex than general fact-checking since it must accommodate the evolving nature of scientific knowledge, the structural complexity of academic literature and the challenges posed by long-form, multimodal scientific expression. However, existing approaches focus on simplified versions of the problem based on small-scale datasets consisting of abstracts rather than full papers, thereby avoiding the distinct challenges associated with processing complete documents. This paper examines the limitations of current scientific fact-checking systems and reveals the many potential features and resources that could be exploited to advance their performance. It identifies key research challenges within evidence retrieval, including (1) evidence-driven retrieval that addresses semantic limitations and topic imbalance (2) time-aware evidence retrieval with citation tracking to mitigate outdated information, (3) structured document parsing to leverage long-range context, (4) handling complex scientific expressions, including tables, figures, and domain-specific terminology and (5) assessing the credibility of scientific literature. Preliminary experiments were conducted to substantiate these challenges and identify potential solutions. This perspective paper aims to advance scientific fact-checking with a specialised IR system tailored for real-world applications.