For example, the average length of an aspect term in our Restaurant dataset is 1.4, where the average length of an expressive subjective expression in their MPQA corpus is 3.3.
the information required to correctly identify aspect terms (e.g., hard disk) is already captured by the simple (as opposed to LSTM) unidirectional link and the context window covering the neighboring words.