1. What is the primary goal of natural language processing (NLP) in human–computer interaction?
2. Which step is NOT part of the classical NLP pipeline?
3. What is a key advantage of contextual embeddings like BERT and GPT over static embeddings such as Word2Vec?
NLP — core task?
Extract meaning from human language
Classical NLP pipeline — step?
Tokenization, morphology, syntax, semantics, pragmatics
Word embeddings — type?
Vector representations capturing similarity
NLP — definition?
Enables machines to interpret and generate human language.
Transformers — key feature?
Parallel processing with self-attention mechanisms.
Large Language Models — examples?
BERT, GPT, T5.
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