In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.

Ex Input:
The best baseline model is NO-MOVE, reaching an accuracy of 30.3% on single sentences and 0.3 on complete paragraphs.

Ex Output:
How well did the baseline perform?


Ex Input:
To account for this, we compute the balanced accuracy, i.e., the average of the three accuracies on each class.

Ex Output:
Is model explanation output evaluated, what metric was used?


Ex Input:
All baselines are Transformer models in their base configuration BIBREF11, using 6 encoder and decoder layers, with model and hidden dimensions of 512 and 2048 respectively, and 8 heads for all attention layers. For initial multi-task experiments, all model parameters were shared BIBREF12, but performance was down by multiple BLEU points compared to the baselines.

Ex Output:

What baselines non-adaptive baselines are used?