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.

Q: For the NMT experiment, we used the Torch implementation to train a 2-layer LSTM model with 500 hidden units in both encoder and decoder, with 12 epochs.

A: Which NMT models did they experiment with?
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Q: To account for this, we compute the balanced accuracy, i.e., the average of the three accuracies on each class.

A: Is model explanation output evaluated, what metric was used?
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Q: Our baseline decoder is a standard beam search decoder BIBREF5 with several straightforward performance optimizations

A:
What baseline decoder do they use?
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