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.
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Question: To create training data for unanswerable question generation, we use (plausible) answer spans in paragraphs as pivots to align pairs of answerable questions and unanswerable questions. In this way, we obtain the data with which the models can learn to ask unanswerable questions by editing answerable ones with word exchanges, negations, etc.

Answer: How do they ensure the generated questions are unanswerable?

Question: We chose Conditional Copy (CC) model as our baseline, which is the best model in Wiseman.

Answer: What is the strong baseline?

Question: Twitter data: We used the Twitter API to scrap tweets with hashtags. All non-English tweets were filtered out by the API.

Answer:
Do they evaluate only on English datasets?