Review for NeurIPS paper: Learning Sparse Prototypes for Text Generation

Additional Feedback: I enjoyed reading your manuscript, and I find the idea of generating sentences by editing prototypes an exciting direction. In the following I'd like to raise a few points, some are comments, some are clarification questions. 1. If the support of the retrieval component q(t x) is an index set of the training data (as in, a sample t indexes a training instance), you cannot easily change the support at test time, can you? If I am right that you cannot, then you are limited to using the same repository of prototypes during training and test. This in turn means that subsampling the training data, for scalability, also affects the set of prototypes available for test-time generations.