Chinese Comparative Sentence Identification Based on the Combination of Rules and Statistics

  • Quanchao Liu
  • Heyan Huang
  • Chen Zhang
  • Zhenzhao Chen
  • Jiajun Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8347)


Opinions always carry important information of texts, but comparative sentence is a common way to express opinions. We describe how to recognize comparative sentences from Chinese text documents by combining rule-based methods and statistical methods as well as analyze the performance of these methods. The method firstly normalizes the corpus and Chinese word segmentation, and then gets the broad extraction results by using comparative words, sentence structure templates and dependency relation analysis. Finally we take CSR, comparative words and statistical feature words as classification features of SVM to accurately identify comparative sentences in the broad extraction results. The experiments with COAE 2013’s test data show that our approach provides better performance than the baselines and most systems reported at CCIR 2013.


Comparative Sentence Chinese Comparative Sentence CRF CSR SVM 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Kawahara, D., Inui, K., Kurohashi, S.: Identifying contradictory and contrastive relations between statements to outline web information on a given topic. In: Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pp. 534–542. Association for Computational Linguistics (2010)Google Scholar
  2. 2.
    Jindal, N., Liu, B.: Identifying comparative sentences in text documents. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 244–251. ACM (2006)Google Scholar
  3. 3.
    Jindal, N., Liu, B.: Mining comparative sentences and relations. In: Proceedings of the National Conference on Artificial Intelligence. AAAI Press, MIT Press, Menlo Park, Cambridge (1999); 21(2), 1331 (2006)Google Scholar
  4. 4.
    Sun, J.T., Wang, X., Shen, D., et al.: CWS: A comparative web search system. In: Proceedings of the 15th International Conference on World Wide Web, pp. 467–476. ACM (2006)Google Scholar
  5. 5.
    Luo, G., Tang, C., Tian, Y.: Answering relationship queries on the web. In: Proceedings of the 16th International Conference on World Wide Web, pp. 561–570. ACM (2007)Google Scholar
  6. 6.
    Feldman, R., Fresko, M., Goldenberg, J., et al.: Extracting product comparisons from discussion boards. In: Seventh IEEE International Conference on Data Mining, ICDM 2007, pp. 469–474. IEEE (2007)Google Scholar
  7. 7.
    Li, S., Lin, C.Y., Song, Y.I., et al.: Comparable entity mining from comparative questions. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 650–658 (2010)Google Scholar
  8. 8.
    Huang, X.J., Wan, X.J., Yang, J.W., et al.: Learning to Identify Chinese Comparative Sentences. Journal of Chinese Information Processing 22(5), 30–38 (2008)Google Scholar
  9. 9.
    Huang, G.H., Yao, T.F., Liu, Q.S.: Mining Chinese Comparative Sentences and Relations Based on CRF algorithm. Application Research of Computers 27(6) (2010)Google Scholar
  10. 10.
    Zhang, R., Jin, Y.: Identification and Transformation of Comparative Sentences in Patent Chinese-English Machine Translation. In: 2012 International Conference on Asian Language Processing (IALP), pp. 217–220. IEEE (2012)Google Scholar
  11. 11.
    Che, J.: A brief analysis of comparative sentences in modern Chinese. Journal of Hubei Normal University (Philosophy and Social Science) 3 (2005)Google Scholar
  12. 12.
    Li, J.: The study of comparative sentence and comparison identification. Chongqing University (2011)Google Scholar
  13. 13.
    Song, R., Lin, H.-F., Chang, F.-Y.: Chinese Comparative Sentences Identification and Comparative Relations Extraction. Journal of Chinese Information Processing 23(2), 102–107 (2009)Google Scholar
  14. 14.
    Hu, B.-S., Wang, D.-L., Yu, G., et al.: An Answer Extraction Algorithm Based on Syntax Structure Feature Parsing and Classification. Chinese Journal of Computers 31(4), 662–676 (2008)CrossRefGoogle Scholar
  15. 15.
    Liu, W., Yan, H.-L., Xiao, J.-G., et al.: Solution for Automatic Web Review Extraction. Journal of Software 21(12), 3220–3236 (2010)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Quanchao Liu
    • 1
  • Heyan Huang
    • 1
  • Chen Zhang
    • 1
  • Zhenzhao Chen
    • 1
  • Jiajun Chen
    • 1
  1. 1.Department of Computer Science and TechnologyBeijing Institute of TechnologyBeijingChina

Personalised recommendations