Machine Translation System Selection from Bandit Feedback
Table 5: Ablation of contextual bandit features, on the randomly mixed-domain data.
['[EMPTY]', 'R', 'B', 'T']
A constant bias feature is used to establish a baseline. As evident by comparing against the Bias feature results, all feature types provide useful information to the system selection task, though length and BERT features prove to be much more effective than vocabulary-based features.