Named Entity Recognition Using Stanford NLP in Java
Named Entity Recognition (NER) is a fundamental task in Natural Language Processing (NLP) that involves identifying and classifying named entities (e.g., people, organizations, locations, dates) within text. This prompt demonstrates how to leverage Stanford NLP, a powerful NLP library written in Java, to construct a NER system. Given a news article, the system extracts named entities, enabling further analysis and understanding of the text's content. The output of the system provides valuable insights for tasks such as information extraction, question answering, and text summarization.
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