Information Extraction (IE) is a process in the field of Natural Language Processing that involves automatically retrieving structured information from unstructured text. This can include identifying specific data points, such as names, dates, and locations, and organizing them into a more usable format, like databases or spreadsheets. IE techniques often utilize methods like Named Entity Recognition (NER) and Relation Extraction to analyze text. By doing so, they help in transforming large volumes of information into actionable insights, making it easier for businesses and researchers to access and utilize relevant data efficiently.