ITNLP: Pattern-based Short Text Conversation System at NTCIR-12

نویسندگان

  • Yang Liu
  • Chengjie Sun
  • Lei Lin
  • Xiaolong Wang
چکیده

This paper describes the ITNLP system participated in the Short Text Conversation (STC Chinese subtask) of the NTCIR12. We employed a Logistic Regression Model combined with pattern-based matching features to solve the STC problem. Deep learning methods were also tried in our experiment. Out of the 44 submitted runs our best performance run ITNLP-C-R3 ranked 8(Mean nDCG@1),12(Mean P+) and 9(Mean nERR@10) respectively [4].

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تاریخ انتشار 2016