Automated extraction is a research area that focuses on developing tools and techniques to automatically extract relevant information or data from large volumes of text, images, or other forms of unstructured data. This is typically done using computer algorithms and machine learning models to identify patterns and structures within the data, allowing for more efficient and accurate extraction of information. Automated extraction is commonly used in various fields such as data mining, information retrieval, and natural language processing to analyze and process large datasets quickly and accurately.