A Generative Approach to Titling and Clustering Wikipedia Sections
Table 6: Results on Wikipedia section clustering. The Rnn+Sc model performs the best on all metrics.
['[EMPTY]', 'Homogeneity', 'Completeness', 'V-measure', 'ARI']
Homogeneity assesses to what extent each cluster contains only members of the same class (e.g. does each cluster contain only sections with the same title?) ; completeness assesses to what extent members of the same class are in the same cluster (e.g. are sections with the same title in the same cluster?) ; V-measure is the harmonic mean between homogeneity and completeness; and adjusted Rand index (ARI) counts how many pairs of data points are assigned to the same or different clusters in the predicted and gold clusterings. On all metrics, the Rnn+Sc model performs the best.