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: In all our experiments, we used the out-of-the-box BERT models without any task-specific fine-tuning.

Output: How does their model differ from BERT?

Input: Consider Input: Because our approach is specifically intended to yield sentences that are grammatical, we additionally consider the following log ratio (i.e., the grammatical phrase over the ungrammatical phrase):

Output: How do they measure grammaticality?

Input: Consider Input: We then train a paragraph vector model using the Document to Vector (Doc2Vec) framework BIBREF7 on the whole set (13 million) of preprocessed text records, although training on smaller sets (1 million) also produces good results.
Output: Which text embedding methodologies are used?