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Related Questions
- What is the concept of contextual embeddings and how do they address the issue of out-of-vocabulary words?
- Can you explain how contextual embeddings handle polysemous words, where a single word has multiple meanings?
- How do contextual embeddings like BERT and RoBERTa handle words that are not present in the training data?
- What is the impact of word sense disambiguation on the performance of contextual embeddings?
- Can you describe the process of how contextual embeddings learn to represent words in context?
- How do contextual embeddings handle homographs, where words are spelled the same but have different meanings?
- What are the implications of contextual embeddings on the problem of vocabulary expansion in natural language processing?
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