A standard network assumes that each input is unrelated to other inputs. You want to use sequence models (like in sentences) when it is useful to know the prior inputs (or words). In addition, neural networks are useful when the lengths of inputs and outputs are constant. The main point is if the output is dependent on the previous input → use a sequence model.