Aspect-Controlled Neural Argument Generation
Table 6: Class correctness of generated arguments.
['[EMPTY]', '[BOLD] reddit', '[BOLD] cc']
We use the classifier of the ArgumenText API as an oracle to produce “gold” labels and classify all generated arguments into pro-, con-, and non-Arguments (none). Labels for the generated arguments are represented by the control codes that were used to generate them. We observe generally high F1 for pro and con classes for both data sources. However, 13.8% of the generated sentences based on the reddit model and 15.6% based on the cc model are not classified to be arguments.