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.

Example Input: Paraphrase Identification (PI) is the task of determining whether two sentences are paraphrase or not. We have implemented the cross-lingual variant of kernel functions for PI and RE tasks as described in section SECREF3 and measured the accuracy of models by testing them on the parallel data set.
Example Output: What classification task was used to evaluate the cross-lingual adaptation method described in this work?

Example Input: Here I would use Informap algorithm BIBREF12. To make a comparison to this method, I am using CCM and SCA for distance measurement in this experiment, too. UPGMA algorithm would be used accordingly in these two cases.
Example Output: Is the proposed method compared to previous methods?

Example Input: For a fair comparison, we trained each model on the same corpus of 10 million sentences gathered from Wikipedia.
Example Output:
On which dataset(s) do they compute their word embeddings?