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.

Input: Consider Input: We use 300 Dimensional Glove Common Crawl Embeddings (840B Token) BIBREF11 and fine tune them for the task.

Output: What data are the embeddings trained on?


Input: Consider Input: We compile three Chinese text corpora from online data for three domains, namely, “hotel", “mobile phone (mobile)", and “travel". All texts are about user reviews. 

Output: What are the sources of the data?


Input: Consider Input: We learn that a number of factors can influence the performance of adversarial attacks, including architecture of the classifier, sentence length and input domain.


Output: What other factors affect the performance?