Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs
Figure 5: Comparison of different delta functions.
['[EMPTY]', 'M', 'VE']
All scores are macro-averaged across datasets. While add shows good performance on METEOR, subtract does on the soft metric (i.e., VecExt), indicating that subtraction can help the model capture the better semantics than the other functions. Both of FlowNet achieve more improvements when generating longer paragraphs. Especially, discourse relations achieve the best performance at length 6 and 7.