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.

[EX Q]: We use 300 Dimensional Glove Common Crawl Embeddings (840B Token) BIBREF11 and fine tune them for the task.
[EX A]: What data are the embeddings trained on?

[EX Q]: The BLEU metric is adopted to evaluate the model performance during evaluation.
[EX A]: What evaluation metric is used?

[EX Q]: Second, we provide an extensive analysis of the state-of-the-art model for the NLI task and show that our methods reveal interesting insights not available from traditional methods of inspecting attention and word saliency.
[EX A]:
Did they use the state-of-the-art model to analyze the attention?