History question classification and representation for Chinese Gaokao

@article{Yu2016HistoryQC,
  title={History question classification and representation for Chinese Gaokao},
  author={Ke Yu and Qiuzhi Liu and Yuqing Zheng and Tiejun Zhao and Dequan Zheng},
  journal={2016 International Conference on Asian Language Processing (IALP)},
  year={2016},
  pages={129-132}
}
In this paper, we propose a question representation based on entity labeling and question classification for a automatic question answering system of Chinese Gaokao history question. A CRF model is used for the entity labeling and SVM/ CNN/LSTM models are tested for question classification. Our experiments show that CRF model provides a high performance when used to label informative entities out while neural networks has a promising performance for the question classification task. With both… CONTINUE READING

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