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.

Ex Input:
The annotation projection method, which we follow in this work, is one way to address this problem. It was introduced for POS tagging, base noun phrase bracketing, NER tagging, and inflectional morphological analysis BIBREF29 but it has also been used for dependency parsing BIBREF30 , role labeling BIBREF31 , BIBREF32 and semantic parsing BIBREF26 .

Ex Output:
Do the authors test their annotation projection techniques on tasks other than AMR?


Ex Input:
For our classification experiments, we use the MH17 Twitter dataset introduced by BIBREF4, a dataset collected in order to study the flow of (dis)information about the MH17 plane crash on Twitter.

Ex Output:
What dataset is used for this study?


Ex Input:
we follow Lapata2005Automatic to measure coherence as sentence similarity

Ex Output:

Did the authors evaluate their system output for coherence?