What is NERT?

NERT, or Named Entity Recognition and Tracking, is a subtask of natural language processing (NLP) focused on identifying and classifying key entities in text, such as names of people, organizations, locations, dates, and more. It enables machines to understand and organize information by categorizing these entities, which is essential for tasks like information extraction, sentiment analysis, and improving search engine results. NERT is commonly used in various applications, including chatbots, customer service automation, and content recommendation systems.