Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
Table 5: AUC results for different representations on the BeerAdvocate data. Models beneath the second line are supervised.
['Baseline', 'Look', 'Aroma', 'Palate', 'Taste']
Our model consistently outperforms baseline strategies over all aspects. Unsurprisingly, the model outperforms unsupervised approaches. We realize consistent though modest improvement over triplet-supervised approaches that use alternative encoders.