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.

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

Example Input: We evaluate the effectiveness of our LAN model on two typical knowledge graph completion tasks, i.e., link prediction and triplet classification.
Example Output: Which knowledge graph completion tasks do they experiment with?

Example Input: GPT-2 achieves the highest score and the $n$-gram the lowest. Transformer-XL and the LSTM LM perform in the middle, and at roughly the same level as each other. We report the 12-category accuracy results for all models and human evaluation in Table TABREF14.
Example Output:
What is the performance of the models on the tasks?

