I have generated the vectors for a list of tokens from a large document using word2vec. Given a sentence, is it possible to get the vector of the sentence from the vector of
Google's Universal Sentence Encoder embeddings are an updated solution to this problem. It doesn't use Word2vec but results in a competing solution.
Here is a walk-through with TFHub and Keras.