Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction
Table 4. Performance comparison on Reply Prediction on Tweets dataset. Best performance is in boldface and second best is underlined.
['Model', 'MRR', 'P@1']
MCAN (FM) achieves the top performance by a significant margin. The performance of MCAN (NN) falls short of MCAN (FM), but is still highly competitive. Our best MCAN model outperforms AP-BiLSTM by 3.4% in terms of MRR and 5.3% in terms of P@1. The performance improvement of AI-CNN is even greater, i.e., 8.4% in terms of MRR and 12.5% in terms of P@1. The strongest baseline is AP-BiLSTM which significantly outperforms AI-CNN and AP-CNN.