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Related Questions
- What are the common techniques used to handle out-of-vocabulary words in word embeddings?
- How do different word embeddings models handle polysemous words with multiple meanings?
- Can you explain the concept of subword embeddings and its application in handling out-of-vocabulary words?
- How do word embeddings models update their representations when encountering new words or words with changing meanings over time?
- What are the implications of out-of-vocabulary words on the performance of language models in downstream tasks?
- How do word embeddings models handle homographs, which are words with the same spelling but different meanings?
- Can you discuss the trade-off between the size of the vocabulary and the quality of word embeddings in handling out-of-vocabulary words?
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