Trainable Referring Expression Generation using Overspecification Preferences
Table 3: Reference type classification results
['Reference type', 'support', 'Speaker P', 'Speaker R', 'Speaker F', 'Profile P', 'Profile R', 'Profile F']
(minimally distinguishing, overspecified and underspecified). Results show that both models generally make accurate predictions regarding the generation of overspecified descriptions, which make the majority of our data. For underspecified and minimally distinguishing descriptions, on the other hand, results remain much lower due to data sparsity.