Text-based Question Answering from Information Retrieval and Deep Neural Network Perspectives: A Survey
Table 9: Results of Different Models on Yahoo! Dataset
['Model', 'Setting', 'P@1', 'MRR']
Performance of different models from Section 6 and their baselines on Yahoo! One representation-based model [Tay:2017], one interaction-based models [Wan:2016b] , and one hybrid model [Wan:2016a] are evaluated on the Yahoo! dataset. As can be seen, Bi-Match-SRNN, proposed by Wan:2016b outperforms other models in P@1 and MRR metrics. This is the only dataset in which an interaction-based model, namely Bi-Match-SRNN, performs better than the hybrid model.