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declare-lab / dialogue-understanding

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

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A question about DialogRNN

mrFocusXin opened this issue · comments

commented

Hi, First, I would like to express my appreciation for your outstanding works in multimodal sentiment analysis, which have greatly inspired me.
But I have one problem about "Party GRU" of your DialogRNN code:
image

As shown in the figure above, my understanding is Speaker A's party state at time t-1 as input to the Party GRU. right？

commented

Adding @nmder to this thread as he is the author of the DialogueRNN code.

commented

Thank you for your question! To answer your query, yes it is, as far as I can remember. As we did not explicitly model the listener state (of A) at t-1 in the depicted model, q_{A, t-1} = q_{A, t-2}.