Deep-speare: A joint neural model of poetic language, meter and rhyme
Table 5: Expert mean and standard deviation ratings on several aspects of the generated quatrains.
['[BOLD] Model LM', '[BOLD] Meter 4.00', '[BOLD] Meter ±0.73', '[BOLD] Rhyme 1.57', '[BOLD] Rhyme ±0.67', '[BOLD] Read. 2.77', '[BOLD] Read. ±0.67', '[BOLD] Emotion 2.73', '[BOLD] Emotion ±0.51']
5.2.2 Expert Judgement To better understand the qualitative aspects of our generated quatrains, we asked an English literature expert (a Professor of English literature at a major English-speaking university; the last author of this paper) to directly rate 4 aspects: meter, rhyme, readability and emotion (i.e. amount of emotion the poem evokes). All are rated on an ordinal scale between 1 to 5 (1 = worst; 5 = best). In total, 120 quatrains were annotated, 30 each for LM, LM∗∗, LM∗∗+PM+RM, and human-written poems (Human). The expert was blind to the source of each poem.