Sentence-Level Content Planning and Style Specificationfor Neural Text Generation
Table 3: Results on argument generation with BLEU (up to bigrams), ROUGE-L, and METEOR (MTR). Best systems without oracle planning are in bold per metric. Our models that are significantly better than all comparisons are marked with ∗ (p<0.001, approximate randomization test Noreen (1989)).
['[EMPTY]', '[BOLD] BLEU', '[BOLD] ROUGE', '[BOLD] MTR', '[BOLD] Len.']
Argument Generation. For each input OP, there can be multiple possible counter-arguments. Our models yield significantly higher BLEU and ROUGE scores than all comparisons while producing longer arguments than generation-based approaches. Furthermore, among our model variants, oracle content planning further improves the performance, indicating the importance of content selection and ordering. Taking out style specification decreases scores, indicating the influence of style control on generation.