Examining the Impact of Expression Fragmentation and Number Redundancy on Financial QA task

Yoonjae Lee, Kyung Seo Ki, Gahgene Gweon, Bugeun Kim

Abstract: The goal of financial QA is to generate solution equations by solving problems about financial reports. Current financial QA models can suffer from two issues: expression fragmentation and number redundancy. We conduct experiments to examine the impact of the two issues. The experimental results show that addressing the expression fragmentation issue in financial QA using EPT improves the execution accuracy by 0.09, and alleviating the number redundancy issue by removing redundant numbers in the input of the FinQANet generator improves the execution accuracy by 0.07.