Geometry of Polysemy
Table 5: Performances (V-measure (x100) and paired F-score (x100)) of Word Sense Induction Task on two datasets.
['[BOLD] algorithms', '[BOLD] SemEval-2010 V-Measure', '[BOLD] SemEval-2010 F-score', '[BOLD] SemEval-2010 # cluster', '[BOLD] Make-Sense-2016 V-Measure', '[BOLD] Make-Sense-2016 F-score', '[BOLD] Make-Sense-2016 # cluster']
The main reason behind the better performance seems to be that K-Grassmeans disambiguates some subtle senses where the others cannot. For example, following are three sentences containing “air”: Can you hear me? You’re on the air. One of the great moments of live television , isn’t it? The air force is to take at least 250 more. The empty shells piled here along the roadside fill the air with their briny aroma. It can be observed that enough information is contained in the sentence to inform us that the first “air” is about broadcasting, the second is about the region above the ground and the third one is about a mixture of gases. K-Grassmeans can distinguish all three while the other algorithms cannot.