How ELMo introduced contextual word representations before the transformer era.
nlp
How Word2Vec learns dense vector representations that capture word meaning.
How LSTMs solve long-range memory problems in recurrent neural networks.
A practical introduction to recurrent neural networks and sequential modeling.
A practical overview of GLUE and why it mattered for language understanding benchmarks.
How BERTScore measures semantic similarity beyond exact token overlap.
How METEOR evaluates generated text using alignment, recall, and linguistic matching.
A practical guide to BLEU, n-gram precision, and why it still matters in NLP.
A practical introduction to ROUGE for summarization and text generation evaluation.