Before revision:  In this paper, we propose a recurrent neural network architecture that attempts to take into account all the mentioned drawbacks , and keeps track of the context of the conversation, interlocutor states, and the emotions conveyed by the speakers in the conversation .
After revision:  In this paper, we propose an end to end RNN architecture that attempts to take into account all the mentioned drawbacks , and keeps track of the context of the conversation, interlocutor states, and the emotions conveyed by the speakers in the conversation .