Extraction Method

Extraction methods, encompassing techniques to isolate specific information from diverse data sources, are a crucial area of research aiming to automate information retrieval and analysis. Current efforts focus on improving the accuracy and efficiency of extraction, particularly using deep learning models like BERT and Sentence-BERT for tasks such as definition extraction from scientific text and variable definition extraction from technical documents. These advancements are significant for improving access to and understanding of complex information across various fields, from scientific literature to web data, ultimately enhancing research and knowledge discovery.