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Related Questions
- What is the primary challenge of non-contextual models in handling idiomatic language?
- How do word embeddings address the challenge of non-contextual models in idiomatic language?
- What type of word embeddings are particularly effective in capturing idiomatic expressions?
- Can you explain how the dimensionality of word embeddings affects their ability to handle idiomatic language?
- How do different word embedding techniques (e.g., Word2Vec, GloVe) contribute to the improvement of non-contextual models on idiomatic language?
- What are some limitations of using word embeddings alone to improve non-contextual models on idiomatic language?
- Are there any specific preprocessing techniques that can be applied to word embeddings to further improve their performance on idiomatic language?
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