In contrast to traditional CNNs, the convolution operation in our framework does not have a fixed set of filters, and thus provides the network with stronger modeling flexibility and capacity.
we introduce a meta network to generate a set of contextaware filters, conditioned on specific input sentences; these filters are adaptively applied to either the same (Section 3.2) or different (Section 3.3) text sequences.