Classification of Opinion Questions

详细信息    查看全文

• 作者：Hongping Fu (23)
  Zhendong Niu (23)
  Chunxia Zhang (24)
  Lu Wang (24)
  Peng Jiang (25)
  Ji Zhang (24)
  
• 刊名：Lecture Notes in Computer Science
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：7814
• 期：1
• 页码：718-721
• 全文大小：118KB
• 参考文献：1. Li, T., Ge, Z., Yao, T.: Research on Chinese Sentiment Question Category Classification. Journal of Chinese Information Processing聽25, 94鈥?8 (2011)
  2. Cheng, C., Yin, H., Wang, L.: A study of opinion question sentence classification in question & answering system. Microcomputer Information聽25, 166鈥?68 (2009)
  3. Stoyanov, V., Cardie, C., Wiebe, J.: Multi-perspective question answering using the OpQA corpus. In: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, pp. 923鈥?30. ACL, Stroudsburg (2005) CrossRef
  4. Jiang, P., Fu, H., Zhang, C., Niu, Z.: A framework for opinion question answering. In: Proceedings of the 6th International Conference on Advanced Information Management and Service, pp. 424鈥?27. IEEE Press (2010)
  5. Huang, G.: Study on the analysis for Chinese opinion question and Chinese comparative opinion QA. PhD Diss. Shanghai: Shanghai Jiao Tong University (2010)
  6. Xiang, S., Nie, F., Zhang, C.: Learning a Mahalanobis distance metric for data clustering and classification. Pattern Recognition聽41, 3600鈥?612 (2008) CrossRef
  
• 作者单位：Hongping Fu (23)
  Zhendong Niu (23)
  Chunxia Zhang (24)
  Lu Wang (24)
  Peng Jiang (25)
  Ji Zhang (24)
  
  23. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
  24. School of Software, Beijing Institute of Technology, Beijing, China
  25. HP Labs., China
  
• ISSN：1611-3349

文摘

With the increasing growth of opinions on news, services and so on, automatic opinion question answering aims at answering questions involving views of persons, and plays an important role in fields of sentiment analysis and information recommendation. One challenge is that opinion questions may contain different types of question focuses that affect answer extraction, such as holders, comparison and location. In this paper, we build a taxonomy of opinion questions, and propose a hierarchical classification technique to classify opinion questions according to our constructed taxonomy. This technique first uses Bayesian classifier and then employs an approach leveraging semantic similarities between questions. Experimental results show that our approach significantly improves performances over baseline and other related works.