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:
We first run our experiment on BiLSTM, BiLSTM-CNN, BiLSTM-CRF BiLSTM-CNN-CRF using the hyper-parameters mentioned in Table TABREF30. 

Ex Output:
Which machine learning models do they explore?


Ex Input:
Adaptation to food domain captioning Consequently, the food dataset has 3,806 images for training and 1,775 for validation. The non-food dataset has 78,976 images for training and 38,749 for validation.

Ex Output:
How many examples are there in the target domain?


Ex Input:
 In almost all genres, DenseNMT models are significantly better than the baselines.

Ex Output:

did they outperform previous methods?