Then, in target memory, via weighting target memory matrix T with ξ, we obtain the output representation R of the topic memory mechanism: The concatenation of R and U (embedded x Seq ) further serves as the features for classification.
similar to the memory networks in prior research (Sukhbaatar et al., 2015;Chen et al., 2017), our model can be extended to handle multiple computation layers (hops).