instruction:
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.
question:
But we also showed that in some cases the saliency maps seem to not capture the important input features. The second observation we can make is that the saliency map doesn't seem to highlight the right things in the input for the summary it generates
answer:
Is the explanation from saliency map correct?

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

question:
In terms of this, rather than starting from Twitter API Search, we look into the archived snapshots of two major news websites (CNN, NBC), and then extract the tweet blocks that are embedded in the news articles.
answer:
How do they determine if tweets have been used by journalists?