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Related Questions
- What are some common data preprocessing techniques used to improve the performance of pre-trained language models on entity categorization tasks?
- How can feature engineering techniques, such as word embeddings and n-gram features, help improve the accuracy of entity categorization models with limited labeled data?
- Can you discuss the impact of data augmentation techniques, such as synonym substitution and paraphrasing, on the performance of entity categorization models?
- What are some strategies for selecting and weighting features to improve the performance of entity categorization models with limited labeled data?
- How can transfer learning and fine-tuning pre-trained language models help improve the performance of entity categorization tasks with limited labeled data?
- What are some techniques for handling out-of-vocabulary words and rare entities in entity categorization tasks with limited labeled data?
- Can you discuss the role of active learning and human-in-the-loop approaches in improving the performance of entity categorization models with limited labeled data?
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