In aspect-level sentiment classification (ASC), it is prevalent to equip dominant neural models with attention mechanisms, for the sake of acquiring the importance of each context word on the given aspect.
such a mechanism tends to excessively focus on a few frequent words with sentiment polarities, while ignoring infrequent ones.