Knowledge Enhanced Hybrid Neural Network for Text Matching
Table 6: Comparison of different channels
['[EMPTY]', 'Conversation', 'Conversation', 'Conversation', 'Conversation', 'QA']
We can see that channel two is the most powerful one on the conversation data, while channel three is the best one on the QA data. This is because the prior knowledge in the conversation data is automatically generated rather than obtained from meta-data like that in the QA data. The automatically generated prior knowledge contains noise which hurts the performance of channel three. The full model outperforms all single channels consistently, demonstrating that matching with multiple channels could leverage the three types of features and sufficiently model the semantic relations in text pairs.