Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks
Table 3: Ablation study on WQ and PQ.
['Method', 'BLEU-4', 'WQ METEOR', 'ROUGE-L', 'BLEU-4', 'PQ METEOR', 'ROUGE-L']
First of all, the node-level copying mechanism contributes a lot to the overall model performance. By turning it off, we observe significant performance drops on both benchmarks. This verifies our assumption that when generating questions from a KG subgraph, one usually directly copies named entities from the input KG subgraph to the output question. Besides, the answer information is also important for generating relevant questions. Even with the simple answer markup technique, we can see the performance boost on both benchmarks.