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.
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Question: In addition to the majority baseline, we also compare our results with a lexicon-based approach. For experimental results, we report majority baseline for each language where the majority baseline corresponds to a model's accuracy if it always predicts the majority class in the dataset.

Answer: what are the baselines?


Question: We acquired the data in two rounds of annotation. In the first one, we were looking for original and uncommon sentence change suggestions.

Answer: How do they introduce language variation?


Question: It is is now clear that some configurations used in some architectures (e.g., additional RNN layers) are actually irrelevant and can be removed altogether without harming accuracy.

Answer:
What are least important components identified in the the training of VQA models?