For example, sentences are naturally fit units for such models, since a sentence starts only after the preceding sentence is finished, and LSTM may be an adequate tool to process sentences.
when the sequences are not contiguous, as in temporal and other discourse-scale relations, LSTM models do not have the capability to look for input pieces across sequences.