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Home/Artificial Intelligence/When Your “Labels” Aren’t Really Labels: Dealing with Entity-Based NLP Datasets
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When Your “Labels” Aren’t Really Labels: Dealing with Entity-Based NLP Datasets

I’m working on an NLP news classification task, but my dataset is structured in an unusual way. Each article has multiple “topics” per row, but these topics are actually named entities, not true categories. For example: Row 1 topics: [“Doctors”, “NHS”, “British Medical Association (BMA)”] → clearly

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📅 Apr 27, 2026·⏱ 2 min read·DeepLearning.AI Updates ↗
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