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: Even among researchers familiar with the definitions outlined above, there was still a low level of agreement (Krippendorff's INLINEFORM0 ).

Output: How was reliability measured?

Input: Consider 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.

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

Input: Consider Input: We manually investigate the errors made by artificial neural networks for morphological inflection in a target language after pretraining on different source languages. For our qualitative analysis, we make use of the validation set. Therefore, we show validation set accuracies in Table TABREF19 for comparison. We manually annotate the outputs for the first 75 development examples for each sourcetarget language combination. All found errors are categorized as belonging to one of the following categories.
Output: How is the performance on the task evaluated?