With the capability to incorporate cues from natural language, such a framework can be used in the future to get negotiation feedback, in order to guide the planning of a negotiating agent. This can be a viable middleground between following the average human behavior through supervised learning or exploring the wild by optimizing on rewards using reinforcement learning <cite>(Lewis et al., 2017</cite>; He et al., 2018) .