A group of attorneys has hired you to help them categorize over a million documents in an intellectual property case. The attorneys need to isolate documents that are relevant to a patent that the plaintiffs argue has been infringed. The attorneys have 50,000 labeled examples of documents, and when the model is evaluated on training data, it performs quite well. However, when evaluated on test data, it performs quite poorly. What would you try to improve the performance?

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A group of attorneys has hired you to help them categorize over a million documents in an intellectual property case. The attorneys need to isolate documents that are relevant to a patent that the plaintiffs argue has been infringed. The attorneys have 50,000 labeled examples of documents, and when the model is evaluated on training data, it performs quite well. However, when evaluated on test data, it performs quite poorly. What would you try to improve the performance?