The idea of using the Universal Sentence Encoder to gather enough training data for CNN classification only makes sense if the documents that are analyzed might include relevant sentences.
If the collection is very big and has lots of categories is is likely that the 10 documents used to find similar sentences are not related, so no suggestions are made, so the size of the training data is not increased...