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.

Example Input: While the performances of a purely content-based model naturally stays stable, the performance of the other systems decrease notably – they perform worse than the content-based model. 
 Question: How do they demonstrate the robustness of their results?
Example Output: performances of a purely content-based model naturally stays stable

Example Input: Attention-base translation model We use the system of BIBREF6 , a convolutional sequence to sequence model. 
 Question: Which translation system do they use to translate to English?
Example Output: Attention-based translation model with convolution sequence to sequence model

Example Input: We then evaluate the ranks of the target entities $t$ with the commonly used mean rank (MR), mean reciprocal rank (MRR), as well as Hits@1, Hits@3, and Hits@10. 
 Question: what was the evaluation metrics studied in this work?
Example Output:
mean rank (MR), mean reciprocal rank (MRR), as well as Hits@1, Hits@3, and Hits@10