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Question Classification Based on Incremental Modified Bayes

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJAST) 바로가기
  • 간행물
    International Journal of Advanced Science and Technology 바로가기
  • 통권
    vol.2 (2009.01)바로가기
  • 페이지
    pp.45-52
  • 저자
    LI Ying-wei, YU Zheng-tao, MENG Xiang-yan, CHE Wen-gang, MAO Cun-li
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A147252

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원문정보

초록

영어
How to use the incremental training corpus to improve the question classification accuracy rate in the process of question classification based on statistic learning. A question classification method based on the incremental modified Bayes was presented in this paper. The method used the modified Bayes and combined the incremental learning to correct the parameter by the incremental training set stage by stage, and established the question classification model based on the incremental modified Bayes. A question classification experiment was done in the domain of Yunnan tourism, the experimental results showed that the presented method evidently excelled than the modified Bayes method in the accuracy rate and the training time, the average accuracy rate was improved 3.3 percentage points than the accuracy rate of the modified Bayes method; the average training time was improved 39.1 percentage points than the training time efficiency of the modified Bayes method.

목차

Abstract
 1. Introduction
 2. Two ways of question classification model
  2.1. Modified Bayes Question Classification Model [1]
  2.2. Question classification model based on incremental modified Bayes
 3. The experiment and the analysis
 4. Conclusions
 5. References

저자

  • LI Ying-wei [ The School of Information Engineering and Automation, Kunming University of Science and Technology ]
  • YU Zheng-tao [ The School of Information Engineering and Automation, Kunming University of Science and Technology, The Institute of Intelligent Information Processing, Computer Technology Application Key Laboratory of Yunnan Province ]
  • MENG Xiang-yan [ The School of Information Engineering and Automation, Kunming University of Science and Technology ]
  • CHE Wen-gang [ The Institute of Intelligent Information Processing, Computer Technology Application Key Laboratory of Yunnan Province ]
  • MAO Cun-li [ The School of Information Engineering and Automation, Kunming University of Science and Technology, The Institute of Intelligent Information Processing, Computer Technology Application Key Laboratory of Yunnan Province ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJAST) [Science & Engineering Research Support Center, Republic of Korea(IJAST)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Advanced Science and Technology
  • 간기
    월간
  • pISSN
    2005-4238
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

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