t backpropagation into the primary model. Hybrid architecture, hybrid training methods or a larger commentary model, perhaps in combination with re-encoding, could help performance. Filtering out training samples that are informationless or that rely on missing environmental context could also help, at the expense of an additional trained classifier. Ideally, commentary generation would help train the primary model as a third task type. However, the two datasets are currently disjoint, with approximately 5 