Analyzes tables in financial reports using natural language processing, suggesting improved data accuracy.
Financial reports, such as securities reports, contain various figures and tables that play a crucial role in conveying structured information. In this study, we focus on the analysis of tables by integrating both textual and tabular data. We present a method that leverages natural language processing (NLP) techniques to assess the correctness of extracted information.
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Higa et al. (2025) studied this question.
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