 To the best of our knowledge, this is the first large-scale reusable sentence representation model obtained by combining a set of training objectives with the level of diversity explored here, i.e. multi-lingual NMT, natural language inference, constituency parsing and skip-thought vectors. 
 Question: Which training objectives do they combine?
multi-lingual NMT natural language inference constituency parsing skip-thought vectors