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: Since we do not have an end-to-end dataset, the generated English poem may not work well with Shakespeare style transfer as shown in Figure FIGREF12 for "Starry Night" with a low average content score. This happens when the style transfer dataset does not have similar words in the training set of sentences. A solution would be to expand the style transfer dataset, for a better representation of the poem data.

Output: What limitations do the authors demnostrate of their model?


Input: Consider Input: We extracted Japanese word pairs from the Evaluation Dataset of Japanese Lexical Simplification kodaira. 

Output: where does the data come from?


Input: Consider Input: For testing, we also applied the TongueNet on the UBC database BIBREF14 without any training to see the generalization ability of the model.


Output: What previously annotated databases are available?