This paper provides an overview of the NTCIR-18 U4 shared task, which focuses on unifying, understanding, and utilizing unstructured data in financial reports. This task aims to improve methods for extracting and analyzing information, particularly from tables, within annual securities reports. These reports are crucial for understanding a company's financial performance, yet their complex and varied table structures present significant challenges for automated processing. To address these issues, the task comprises two subtasks, Table Retrieval and Table Question Answering, designed to evaluate and advance system capabilities for handling real world financial documents. The dataset, drawn from TOPIX100 companies, encompasses diverse table formats and content, serving as a rigorous test bed for participants. Performance is assessed via a leaderboard that evaluates JSON formatted system outputs, promoting transparent and reproducible results. The NTCIR-18 U4 task saw 10 active teams participate, submitting a total of 210 submissions.
Kimura et al. (Fri,) studied this question.