premise: Our experiments indicate that neural systems are quite good at surface-level language modeling, but perform quite poorly at capturing higher level semantics and structure.
hypothesis: Our experiments indicate that neural systems are quite good at producing fluent outputs and generally score well on standard word-match metrics, but perform quite poorly at content selection and at capturing long-term structure.