TASK DEFINITION: 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.
PROBLEM: We downloaded 76 videos from a tutorial website about an image editing program . 

SOLUTION: What is the source of the triples?

PROBLEM: 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 .

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

PROBLEM: The improvement over all benchmark datasets also shows that conditional BERT is a general augmentation method for multi-labels sentence classification tasks.

SOLUTION:
Does the new objective perform better than the original objective bert is trained on?