DeepIntell at the NTCIR-13 STC-2 Task

This paper provides an overview of DeepIntell’s system participated in the Short Text Conversation (STC2) task of Chinese at NTCIR-13. Previous STC of NTCIR-12 is a conversation task which can be defined as an IR problem, i.e.,retrieval based a repository of post-comment pairs. STC2 of NTCIR-13 provided a transparent platform to compare the generation-based method and IR method via comprehensive evaluations. In this paper, we adopt the IR method and propose a SVM based ranking method with the deep matching features to score the post-comment pairs. Our framework is based on the following four steps: 1) preprocessing, 2) building search index, 3) comment candidates generation, 4) comment candidates ranking. Our best run achieves 0.5564 for mean P+,0.4323 for mean nDCG@1 and 0.5594 for mean nERR@10. The evaluation of submitted results empirically shows our framework is effective in all these terms.