What is most accurate about frequency$-$based word embeddings?

Group of answer choices

They are generally unsuitable for tasks that involve semantic similarity

They rely on word co$-$occurrence patterns within a corpus to create word representations

They produce low$-$dimensional vectors that capture semantic relationships

They are highly complex models requiring extensive training on large datasets.