Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
Table 1: Results on NarrativeQA reading comprehension dataset (Full story setting). Results are reported from Kočiskỳ et al. (2018) .The numbers besides the model name denote the total context size. Rel. Gain reports the relative improvement of our model and the best baseline reported in Kočiskỳ et al. (2018) on a specific context size setting.
['Model', 'ℓ', 'Dev Set BLEU-1', 'Dev Set BLEU-4', 'Dev Set Meteor', 'Dev Set Rouge', 'Test Set BLEU-1', 'Test Set BLEU-4', 'Test Set Meteor', 'Test Set Rouge']
Our approach achieves state-of-the-art results as compared to prior work Kočiskỳ et al. When compared to the best ASR model in Kočiskỳ et al. The absolute improvements range from approximately +1% to +3%.