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基于自然语言处理的主观题评分算法研究
引用本文:梁晓诚,岳晓光,麦范金,赵子强,路英,王挺.基于自然语言处理的主观题评分算法研究[J].昆明理工大学学报(理工版),2010,35(2):81-84.
作者姓名:梁晓诚  岳晓光  麦范金  赵子强  路英  王挺
作者单位:1. 桂林理工大学,信息科学与工程学院,广西,桂林,541004
2. 太原科技大学,机械电子工程学院,太原,030024
3. 莫纳什大学,管理学院,澳大利亚,维多利亚州,墨尔本,3800
4. 利物浦大学,计算机科学系,英国,利物浦,L697ZF;西交利物浦大学,计算机科学与软件工程系,江苏,苏州,215123
基金项目:广西自然科学基金资助项目(项目编号:桂科自0991254)
摘    要:从自然语言处理的角度来看,现有的主观题评分算法都以相似度计算为核心的,没有考虑语义对立度问题.提出了一种基于中文分词技术、相似度计算和对立度计算的新的主观题评分算法.对主观题评分算法的以下三个方面进行了重点研究:怎样改进中文分词算法中的歧义切分的方法;怎样引入参数限制计算中分数过高或过低;怎样设计一个融合相似度计算和对立度计算的主观题分数的计算公式.

关 键 词:主观题  相似度  对立度

Algorithm Research of Subjective Question Assessment Based on Natural Language Processing
LIANG Xiao-cheng,YUE Xiao-guang,MAI Fan-jin,ZHAO Zi-qiang,LU Ying,WANG Ting.Algorithm Research of Subjective Question Assessment Based on Natural Language Processing[J].Journal of Kunming University of Science and Technology(Natural Science Edition),2010,35(2):81-84.
Authors:LIANG Xiao-cheng  YUE Xiao-guang  MAI Fan-jin  ZHAO Zi-qiang  LU Ying  WANG Ting
Affiliation:1. School of Information Science and Engineering, Guilin University of Technology, Guilin, Ouangxi 541004, China; 2. Mechanical and Electronic Engineering College, Taiyuan University of Science and Technology, Taiyuan 030024, China; 3. Department of Management, Monash University, Melbourne 3800", Australia; 4. Department of Computer Science, University of Liverpool, Liverpool L69 7ZF, UK; 5. Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China)
Abstract:From the perspective of natural language processing,all existing subjective questions scoring algorithms use similarity calculation as a key method while the contrary degree is ignored.A new subjective questions scoring algorithm based on Chinese words segmentation technology,similarity calculation and contrary degree calculation is presented in this paper.The three areas about subjective questions scoring algorithm are mainly researched: how to improve the method of disambiguation in Chinese words segmenta...
Keywords:subjective question  similarity  contrary degree  
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