In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

[Q]: We evaluate our method on IWSLT16 German-English (DE-EN) translation in both directions, WMT15 English-German (EN-DE) translation in both directions, and NIST Chinese-to-English (ZH$
ightarrow $EN) translation.
Question: Which languages do they experiment on?
[A]: German English Chinese

[Q]: Finally, we performed hyperparameter tuning by adjusting the number of coattention blocks, the batch size, and the number of epochs trained and ensembled our three best networks.
Question: What hyperparameters have been tuned?
[A]: number of coattention blocks, the batch size, and the number of epochs trained and ensembled our three best networks

[Q]: For the cross-domain polarity classification experiments, we use the second version of Multi-Domain Sentiment Dataset BIBREF0 . The data set contains Amazon product reviews of four different domains: Books (B), DVDs (D), Electronics (E) and Kitchen appliances (K).
Question: What domains are contained in the polarity classification dataset?
[A]:
Books DVDs Electronics Kitchen appliances