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: In the future, we aim to use the corpus for annotation projects such as parts-of-speech tagging, named entity recognition. Furthermore, the generated word embeddings will be utilized for the automatic construction of Sindhi WordNet.
Example Output: Are trained word embeddings used for any other NLP task?

Example Input: 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.
Example Output: How do they determine if tweets have been used by journalists?

Example Input: Women represent 33.16% of the speakers, confirming the figures given by the GMMP report BIBREF0.
Example Output:
How big is imbalance in analyzed corpora?