This repository contains PyTorch implementations of the models from the paper An Empirical Study MIME: MIMicking Emotions for Empathetic Response Generation.
Hi,
I found that the responses provided in output.txt are not similar to what you mentioned in your paper.
E.g.,
emotion:apprehensive vader-score: -0.6606 predicted_emotion: afraid
Context:['i went skydiving last summer with my partner . it was so scary !', 'wow , that is scary . were you nervous ?', 'absolutely ! i have always been scared of heights , but i am so glad i made myself .']
Topk:that sounds like fun !
Beam: i am sorry to hear that . i hope you have a good time !
Greedy:i am sorry to hear that . i hope you get it !
Ref:it sounds like a great experience !
While the response for this case in your paper is "That must've been a very beautiful memory."
Hi, I found that the responses provided in output.txt are not similar to what you mentioned in your paper.
E.g., emotion:apprehensive vader-score: -0.6606 predicted_emotion: afraid Context:['i went skydiving last summer with my partner . it was so scary !', 'wow , that is scary . were you nervous ?', 'absolutely ! i have always been scared of heights , but i am so glad i made myself .'] Topk:that sounds like fun ! Beam: i am sorry to hear that . i hope you have a good time ! Greedy:i am sorry to hear that . i hope you get it ! Ref:it sounds like a great experience !
While the response for this case in your paper is "That must've been a very beautiful memory."