Explain the concept of word embeddings.
Instruction: Describe what word embeddings are and why they are useful in NLP.
Context: This question aims to test the candidate's knowledge of advanced techniques for representing words in vector space.
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Word embeddings are dense vector representations of words that can capture semantic or syntactic relationships through their geometry, depending on the training objective and...