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: We use the annotations from experts for an abstract if it exists otherwise use crowd annotations. 
Example Output: How do they match annotators to instances?

Example Input: We call this lifelong interactive learning and inference (LiLi). Lifelong learning is reflected by the facts that the newly acquired facts are retained in the KB and used in inference for future queries, and that the accumulated knowledge in addition to the updated KB including past inference performances are leveraged to guide future interaction and learning.
Example Output: In what way does LiLi imitate how humans acquire knowledge and perform inference during an interactive conversation?

Example Input: 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.
Example Output:
What hyperparameters have been tuned?