Quiz Part I: Foundations of NLP
Conceptual Understanding
- What is the primary difference between static word embeddings (like Word2Vec and GloVe) and contextual embeddings (like BERT)?
a) Static embeddings generate a single representation for each word, while contextual embeddings generate different representations based on context.
b) Static embeddings are always more accurate.
c) Contextual embeddings use more computational resources than static embeddings.
d) Contextual embeddings ignore the context of the word.
Conceptual Understanding
- What is the primary difference between static word embeddings (like Word2Vec and GloVe) and contextual embeddings (like BERT)?
a) Static embeddings generate a single representation for each word, while contextual embeddings generate different representations based on context.
b) Static embeddings are always more accurate.
c) Contextual embeddings use more computational resources than static embeddings.
d) Contextual embeddings ignore the context of the word.
Conceptual Understanding
- What is the primary difference between static word embeddings (like Word2Vec and GloVe) and contextual embeddings (like BERT)?
a) Static embeddings generate a single representation for each word, while contextual embeddings generate different representations based on context.
b) Static embeddings are always more accurate.
c) Contextual embeddings use more computational resources than static embeddings.
d) Contextual embeddings ignore the context of the word.
Conceptual Understanding
- What is the primary difference between static word embeddings (like Word2Vec and GloVe) and contextual embeddings (like BERT)?
a) Static embeddings generate a single representation for each word, while contextual embeddings generate different representations based on context.
b) Static embeddings are always more accurate.
c) Contextual embeddings use more computational resources than static embeddings.
d) Contextual embeddings ignore the context of the word.