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Related Questions
- What are the common strategies used to handle out-of-vocabulary (OOV) words in NLP pipelines?
- How does the NLP pipeline handle unknown words during text classification tasks?
- What are the potential consequences of encountering OOV words in text classification models?
- Can you explain the difference between subword modeling and wordpiece tokenization in handling OOV words?
- What are some techniques used to incorporate context when encountering OOV words in NLP pipelines?
- How does the use of pre-trained language models impact the handling of OOV words in text classification tasks?
- What are some common trade-offs between accuracy and OOV word handling in NLP pipelines?
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