Task: Language Identification
Input (Spanish, English): The paper introduces a number of ideas / heuristics for learning and interpreting deep generative models of text (tf-idf weighting, a combination of using an inference networks with direct optimization of the variational parameters, a method for inducing context-sensitive word embeddings). Generally, the last bit is the most novel, interesting and promising one, however, I agree with the reviewers that empirical evaluation of this technique does not seem sufficient.     Positive:  -- the ideas are sensible   -- the paper is reasonably well written and clear    Negative  -- most ideas are not so novel  -- the word embedding method requires extra analysis / evaluation, comparison to other methods for producing context-sensitive embeddings, etc
Output (English): en