GANN is novel neural network model for APC task aimed to solve the shortcomings of traditional RNNs and CNNs. The GANN applied the Gate Truncation RNN (GTR) to learn informative aspect-dependent sentiment clue representations. GANN obtained the state-of-the-art APC performance on the Chinese review datasets. 
 Question: What was previous state-of-the-art on four Chinese reviews datasets?
GANN obtained the state-of-the-art APC performance on the Chinese review datasets