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: We used fastText and SVM BIBREF16 for preliminary experiments.

Output: What classification models were used?

Input: Consider Input: Each annotator annotated 90 reference sentences (i.e. from the training corpus) with which style they thought the sentence was from. The accuracy on this baseline task for annotators A1, A2, and A3 was 80%, 88%, and 80% respectively, giving us an upper expected bound on the human evaluation.

Output: How they perform manual evaluation, what is criteria?

Input: Consider Input: Los resultados de la evaluacion se presentan en la Tabla TABREF42, en la forma de promedios normalizados entre [0,1] y de su desviacion estandar $\sigma $.
Output: What evaluation metrics did they look at?