Cross Temporal Recurrent Networks for Ranking Question Answer Pairs
Table 7: Performance comparisons of all published works on TREC QA dataset. S&M is short for Severyn and Moschitti. Best result is in boldface and second best is underlined. The MP-CNN result is reported from [Rao, He, and Lin2016], using the pointwise model for fair comparison. † denotes results reported by this work.
['[BOLD] Model', '[BOLD] MAP', '[BOLD] MRR']
We can see that CTRN outperforms many complex neural architectures such as the aNMM model