Learning to Generate Questions with Adaptive Copying Neural Networks
Table 2: The results in terms of BLEU and ROUGE scores with different paragraph lengths. The best scores are highlighted using boldface.
['Model', 'BLEU-1', 'BLEU-2', 'BLEU-3', 'BLEU-4', 'ROUGE- [ITALIC] L']
We also investigated the impact of the paragraph length on the performance of the proposed variant ACNN-para. We tested three different length values, 100 (the default value used above), 120 and 150. We can see that when increasing the paragraph length, the test scores decrease. This validates our analysis above on paragraph introducing noise: Although longer paragraphs contain more contextual information, they include more irrelevant noisy information as well.