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: The BioNLP 2009 Shared Task BIBREF195 was based on the GENIA corpus BIBREF196 which contains PubMed abstracts of articles on transcription factors in human blood cells.

Output: Which datasets are used in this work?

Input: Consider Input: In this approach the similarity between two words is not strictly based on their cooccurrence frequencies, but rather on the frequencies of the other words which occur with both of them (i.e., second order cooccurrences). This approach has been shown to be successful in quantifying semantic relatedness BIBREF12 , BIBREF13 .

Output: What is a second order co-ocurrence matrix?

Input: Consider Input: All data were downloaded from Twitter in two separate batches using the "twint" scraping tool BIBREF5 to sample historical tweets for several different search terms; queries always included either "climate change" or "global warming", and further included disaster-specific search terms (e.g., "bomb cyclone," "blizzard," "snowstorm," etc.).
Output: Do they report results only on English data?