Casting Light on Invisible Cities:Computationally Engaging with Literary Criticism
Table 1: Results from cluster purity and accuracy on the “odd-one-out” task suggests that Calvino’s thematic groups are not completely arbitrary.
['Method', 'Purity', 'Accuracy']
ELMo representations yield the highest purity among the three methods, which is surprising as BERT is a bigger model trained on data from books (among other domains). Both ELMo and BERT outperform GloVe, which intuitively makes sense because the latter do not model the order or structure of the words in each description.