Clustering Methods, Evaluation Metrics and Experimental Setup | 3.3 Cluster display, feature f-Measure and confidence score |
Clustering Methods, Evaluation Metrics and Experimental Setup | In addition, for each verb in a cluster, a confidence score is displayed which is the ratio between the sum of the F-measures of its cluster maXimised features over the sum of the F-measures of the overall cluster maXimised features. |
Clustering Methods, Evaluation Metrics and Experimental Setup | Verbs whose confidence score is O are considered as orphan data. |
Features and Data | Section 3) highlight strong cluster cohesion with a number of clusters close to the number of gold classes (13 clusters for 11 gold classes); a low number of orphan verbs (i.e., verbs whose confidence score is zero); and a high Cumulated Micro Precision (CMP = 0.3) indicating homogeneous clusters in terms of maximis-ing features. |