One Representation per Word — Does it make Sense for Composition?
Table 2: Tendency of SensEmbed (SE) to overestimate the similarity on phrase pairs with low average human similarity when the closest sense strategy is used.
['[BOLD] Phrase 1', '[BOLD] Phrase 2', '[BOLD] SE', '[BOLD] SE*', '[BOLD] H']
The results show the tendency of the closest sense strategy with SensEmbed (SE) to overestimate the similarity of dissimilar phrase pairs. For a comparison we manually labelled the lexemes in the sample phrases with the appropriate BabelNet senses prior to composition (SE*). Human (H) similarity scores are normalised and averaged for an easier comparison, model estimates represent cosine similarities.