This paper describes the proposed methods and results of the FUSINT team in the U4 task. For the Table Retrieval task, we propose a method for retrieving specific tables in Securities Reports based on a given question. Our approach involves filtering using cosine similarity and reranking, followed by a binary classification model. We achieved approximately 90% accuracy, but challenges remain in preprocessing and generalizing the section prediction model. Future work should explore methods that can handle a wider variety of question formats. For the Table QA task, we propose a method for identifying table cells in Securities Reports, focusing on standardizing table structures and resolving inconsistencies in cell values. One advantage of our approach is its ability to visualize the reasoning process. While challenges remain in handling hierarchical tables due to matrix segmentation, our method successfully identified cell positions with a high accuracy of approximately 92%.
Fujita et al. (Fri,) studied this question.