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.

Ex Input:
To study how the multimodal context can boost the performance compared to an unimodal context we evaluate different models: a Feature Concatenation Model (FCM), a Spatial Concatenation Model (SCM) and a Textual Kernels Model (TKM)

Ex Output:
What models do they propose?


Ex Input:
We use the existing large-scale antonym and synonym pairs previously used by Nguyen:16. Originally, the data pairs were collected from WordNet BIBREF9 and Wordnik.

Ex Output:
What dataset do they use to evaluate their method?


Ex Input:
We evaluate a multi-task approach and three algorithms that explicitly model the task dependencies.

Ex Output:

Will these findings be robust through different datasets and different question answering algorithms?