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Related Questions
- What is the approach taken by Infermatic.ai's NLP pipeline when encountering out-of-vocabulary (OOV) words in text classification tasks?
- How does Infermatic.ai's NLP pipeline handle unknown words or typos in text classification tasks?
- Can you explain the strategies employed by Infermatic.ai's NLP pipeline to handle OOV words in text classification tasks?
- In text classification tasks, how does Infermatic.ai's NLP pipeline handle words that are not present in the training data?
- What techniques are used by Infermatic.ai's NLP pipeline to mitigate the impact of OOV words on text classification performance?
- How does Infermatic.ai's NLP pipeline handle rare or unseen words in text classification tasks?
- What is the default behavior of Infermatic.ai's NLP pipeline when encountering words that are not in the training data in text classification tasks?
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