Computer Science - Graduate CS - Natural Language Processing - NLP Concepts Quiz

8 questions. Q1: Tokenization does what? → Splits text into individual units (words, subwords, or characters). Q2: Word embeddings represent words as? → Dense numerical vectors in high-dimensional space. Q3: Why are transformers better than RNNs for long text? → Self-attention connects all positions

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Computer Science - Graduate CS - Natural Language Processing - NLP Concepts Quiz
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Computer Science - Graduate CS - Natural Language Processing - NLP Concepts Quiz

vivmagarwal
vivmagarwalJan 29, 2026

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8 questions. Q1: Tokenization does what? → Splits text into individual units (words, subwords, or characters). Q2: Word embeddings represent words as? → Dense numerical vectors in high-dimensional space. Q3: Why are transformers better than RNNs for long text? → Self-attention connects all positions

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Computer ScienceGraduate CS

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