When performing Named Entity Recognition, how does the classification of technical terms differ from the identification of common nouns?

Named Entity Recognition (NER) is the process of locating and classifying specific text elements into predefined categories like names, dates, or locations. When distinguishing technical terms from common nouns, the primary difference lies in the reliance on linguistic patterns versus domain-specific expertise. Common nouns, such as 'table' or 'city,' are typically identified through linguistic context, which refers to the surrounding words that provide ....