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: TABREF5 displays the output behavior of models that we damaged to resemble the damage that causes aphasia. Because the output languages in all of our domains use tokens to represent meanings in many cases, it is expected that the analog to Wernicke's area is responsible for maintaining a high precision.

SOLUTION: Do they perform a quantitative analysis of their model displaying knowledge distortions?

PROBLEM: o evaluate the quality of the generated sequences regarding both precision and recall, the evaluation metrics include BLEU and ROUGE (1, 2, L) scores with multiple references BIBREF22 .

SOLUTION: What evaluation metrics are used?

PROBLEM: The baseline model BIBREF3 is implemented with a recurrent neural network based encoder-decoder framework.

SOLUTION:
Do they compare against Noraset et al. 2017?