Temporal Fact Extraction

Temporal fact extraction focuses on automatically identifying and extracting time-related information from text, a crucial step in building comprehensive knowledge graphs and improving question-answering systems. Current research emphasizes leveraging large language models, often combined with techniques like sentence decomposition, to accurately map temporal information to specific events within complex sentences. This work is driven by the need to enhance knowledge base systems, particularly those handling temporal queries, by supplementing incomplete or erroneous knowledge with information extracted directly from text, leading to more accurate and complete answers.