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 order to fully leverage gloss information, we propose GlossBERT to construct context-gloss pairs from all possible senses of the target word in WordNet, thus treating WSD task as a sentence-pair classification problem.

Output: Do they incoprorate WordNet into the model?


Input: Consider Input: We evaluate the effectiveness of our LAN model on two typical knowledge graph completion tasks, i.e., link prediction and triplet classification.

Output: Which knowledge graph completion tasks do they experiment with?


Input: Consider Input: In this work, we use the datasets released by BIBREF1 and HEOT dataset provided by BIBREF0 .  This was then followed by transliteration using the Xlit-Crowd conversion dictionary and translation of each word to English using Hindi to English dictionary. 


Output: Do all the instances contain code-switching?