Convert a sentence into a vector by averaging word embedding vectors over all
its words. Implement a method to implement semantic similarity of a pair of
sentences using the sentence vectors. Does the scheme generalize to semantic
similarity of documents? Repeat the experiment with pre-trained transformerbased models such as BERT.
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