In Section 5.4.2, to demonstrate the effectiveness of modeling the temporal dynamics of stance evolution, we replace the GRU layer by a CNN layer that only captures local temporal information.
this CNN layer consists of a 1D convolution layer and a max-pooling function (Kim, 2014).