The document discusses natural language processing (NLP) and named entity recognition (NER), highlighting the steps involved in understanding human language through computers. It explains NER as the identification and classification of names within text, using historical context about Abraham Lincoln as a practical example. The document also mentions the challenges and methodologies in implementing NER systems, including rule-based and machine learning approaches.
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