Learning with Latent Language
Table 2: Results for string editing. The reported number is the percentage of cases in which the predicted string exactly matches the reference. L3 is the best performing system; using language data for joint training rather than as a hypothesis space provides little benefit.
['Model', 'Val', 'Test']
In these experiments, all models that use descriptions have been trained on the natural language supplied by human annotators. While we did find that the Meta+Joint model converges considerably faster than all the others, its final performance is somewhat lower than the baseline Meta model. As before, L3 outperforms alternative approaches for learning directly from examples with or without descriptions.