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Co Stack Residual Affinity Networks with Multi level Attention Refinement for Matching Text Sequences

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Figure

Figure 1: Illustration of the proposed Co-Stack Residual Affinity Network (CSRAN) architecture
Table 1: Statistics of datasets used in our experiment.|C| denotes the number of classes and R denotes a rank-ing formulation.Twitter stands for the TwitterURLdataset.
Table 3: Experimental results on SciTail dataset.
Figure 2: Relative effect of stack depth on CSRAN andthe baseline Stacked Model on SciTail dataset.
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