Table Based Fact Verification

Table-based Fact Verification is a subtask in the field of Natural Language Processing that focuses on verifying whether given factual statements are accurate based on tabular data. This task involves analyzing the structure and content of tables, combined with natural language understanding techniques, to automatically assess the consistency between statements and data. Its application value lies in ensuring the accuracy of information in data-driven decision-making processes, and it is widely used in fields such as finance, healthcare, and scientific research.