One-shot Learning for Question-Answering in Gaokao History Challenge
Table 7: Question type distribution and model performance of CGNN.
['Type', 'Proportion', 'Precision', 'Recall', 'F1-score']
Our model performs well on most types but drops on Fact since these questions are diverse kinds of facts whose patterns are extremely hard to distinguish, even for human. This also shows our task is challenging.