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Obstacles hindering the development of capsule networks for challenging NLP applications include poor scalability to large output spaces and less reliable routing processes. In this paper, we introduce (i) an agreement score to evaluate the performance of routing processes at instance level; (ii) an adaptive optimizer to enhance the reliability of routing; (iii) capsule compression and partial routing to improve the scalability of capsule networks. We validate our approach on two NLP tasks,doi:10.18653/v1/p19-1150 dblp:conf/acl/ZhaoPECY19 fatcat:4cqppc7j55gqhbiopxywpyvfiq