Content representation is to reflect how words appear therein, where we employ a Convolutional Neural Network (CNN) (Kim, 2014) encoder to model a turn's word sequence.
given a turn t in conversation c, we first map each word in t into a word embedding layer (initialized with pre-trained word vectors) to explore deep word semantics.