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Question Classification Based on Hadoop Platform

  • XiangXiang Qi
  • Lei SuEmail author
  • Bin Yang
  • Jun Chen
  • Yiyang Li
  • Junhui Liu
Conference paper
  • 1.3k Downloads
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 142)

Abstract

The statistical supervised learning model for question classification needs a large amount of labeled training examples. However, labeled data are difficult to collected but unlabeled data are readily obtained. To solve the lack of labeled data, we utilize the method of transfer learning to build the learning model with the labeled and the unlabeled training examples. Based on the feature spaces of source and target domain, the common space are build. Then, those examples from source domain whose conditional probability is like to be similar to the target domain are selected into the common space. Therefore, the question classifier is trained by the labeled data in the source domain and the unlabeled data in the target domain. Meanwhile, the method of Map/Reduce based on the Hadoop platform is used to reduce the time complexity in kernel mapping. The subtasks are constructed for the mapping process and then the final result is obtained by assembling the subtasks. Experiments on question classification show that the proposed method could improve the classification accuracy. Furthermore, the learning model based on the Hadoop Platform could ask each computing resources to reduce the running time.

Keywords

Question answering Question classification Hadoop platform Kernel mapping 

Notes

Acknowledgment

This work was supported by the National Natural Science Foundation of China (No. 61365010), Yunnan Nature Science Foundation (2011FZ069), Yunnan Province Department of Education Foundation (2011Y387).

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Copyright information

© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015

Authors and Affiliations

  • XiangXiang Qi
    • 1
  • Lei Su
    • 1
    Email author
  • Bin Yang
    • 1
  • Jun Chen
    • 2
  • Yiyang Li
    • 1
  • Junhui Liu
    • 2
  1. 1.School of Information Engineering and AutomationKunming University of Science and TechnologyKunmingChina
  2. 2.School of SoftwareYunnan UniversityKunmingChina

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