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:
The average classification accuracy results are summarised in Table TABREF9.

Ex Output:
What evaluation metric is used?


Ex Input:
We have observed that the conflict model is very sensitive to even minor differences and compensates in such cases where attention poses high bias towards similarities already there in the sequences.

Sequence 1: What are the best ways to learn French ?

Sequence 2: How do I learn french genders ?

Attention only: 1

Attention+Conflict: 0

Ground Truth: 0

Sequence 1: How do I prevent breast cancer ?

Sequence 2: Is breast cancer preventable ?

Attention only: 1

Attention+Conflict: 0

Ground Truth: 0

We provide two examples with predictions from the models with only attention and combination of attention and conflict. Each example is accompanied by the ground truth in our data.

Ex Output:
Do they show on which examples how conflict works better than attention?


Ex Input:
We started by answering always YES (in batch 2 and 3) to get the baseline performance. For batch 4 we used entailment.

Ex Output:

What was the baseline model?