Text similarity with sentence embeddings
One approach is using Word Mover’s Distance (WMD). WMD is an algorithm for finding the distance between texts of different lengths, where each word is represented as a word embedding vector.


  The WMD distance measures the dissimilarity between two text documents as the minimum amount of distance that the embedded words of one document need to "travel" to reach the embedded words of another document.


For example:


Source: "From Word Embeddings To Document Distances" Paper

WMD can be modified to Sentence Mover’s Distance, comparing how far apart different sentence embeddings are to each other.