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Related Questions
- How do word2vec models capture word similarities and analogies?
- What is the difference between cosine similarity and Euclidean distance in word embeddings?
- Can you explain the concept of semantic priming and how it relates to word embeddings?
- How do word embeddings handle out-of-vocabulary words and words with multiple meanings?
- What is the role of context in shaping the semantic relationships between words in word embeddings?
- Can you describe the relationship between word embeddings and linguistic theories such as distributional semantics?
- How do word embeddings generalize to unseen words and contexts?
- What are the limitations of word embeddings in capturing complex semantic relationships, such as nuances and idioms?
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