To demonstrate the effectiveness of our speaker naming approach, we design a model based on an end-to-end memory network (Sukhbaatar et al., 2015), namely Speaker-based Convolutional Memory Network (SC-MemN2N), which relies on the MovieQA dataset, and integrates the speaker naming approach as a component in the network.
we use our speaker naming framework to infer the name of the speaker for each segment of the subtitles, and prepend the predicted speaker name to each turn in the subtitles.