Modeling Ambiguity, Subjectivity, and Diverging Viewpointsin Opinion Question Answering Systems
TABLE IV: Results on open-ended questions in terms of AUC where multiple answers are involved.
['[EMPTY]', '[BOLD] s-MoE', '[BOLD] m-MoE', '[BOLD] m-MoE-S']
We find that including multiple answers in our training procedure helps us to obtain slightly better results, while incorporating subjective information was not effective here. A possible reason could be that open-ended questions may not be as polarized as binary questions so that subjective information may not be as good an indicator as compared to the content of the review itself.