The evaluation results on sentiment classification and answer sentence selection are shown in Table 1 and Table 2  Best published results (Lei et al., 2017) 53.2 89.9 MAP score on WikiQA.
cNN-RNF-LSTM achieves 53.4% and 90.0% accuracies on the fine-grained and binary sentiment classification tasks respectively, which match the state-ofthe-art results on the Stanford Sentiment Treebank.