Aspect-Controlled Neural Argument Generation
Table 4: Comparison of retrieval and generation approach with reference data from debate portals.
['[BOLD] Model', '[BOLD] METEOR', '[BOLD] ROUGE-L']
As the paragraphs may also include non-arguments, we filter these out by classifying all sentences with the ArgumenText API into arguments and non-arguments. Next, we detect the aspects in these arguments. All arguments with the same aspect are then used as reference for arguments with the same aspect from the (a) generated arguments and (b) retrieval approach arguments. It not only shows the strength of the architecture, but also the success in generating sound aspect-specific arguments with our approach.