Fact Extraction

Fact extraction focuses on automatically identifying and extracting factual statements from text, aiming to improve knowledge representation and utilization in various applications. Current research emphasizes leveraging large language models (LLMs), often employing fine-tuning or in-context learning techniques, to enhance accuracy and address challenges like bias and the handling of diverse data types (e.g., text, tables, and multimedia). These advancements are crucial for improving fact verification systems, building more robust knowledge graphs, and enabling more reliable information retrieval across multiple languages and domains.