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基于HNC理论的短文本语境框架提取实现
引用本文:覃张华,王景中. 基于HNC理论的短文本语境框架提取实现[J]. 北京工商大学学报(自然科学版), 2007, 25(5): 49-52,63
作者姓名:覃张华  王景中
作者单位:北方工业大学,信息工程学院,北京,100041
基金项目:北京市教育委员会科技发展计划重点项目
摘    要:在HNC理论框架的指导下,充分考虑了短文本的领域、情境和背景,提取了对短文本语义影响较大的特征填充语境框架.实验表明该框架能够较好地理解短文本的上下文信息,并且有效处理了短文本语义块的分离、句蜕和歧义等现象,框架提取准确率较高,而且系统资源开销较少,运行效率较高.

关 键 词:HNC理论  语境框架  短文本  算法
文章编号:1671-1513(2007)05-0049-04
收稿时间:2007-05-15
修稿时间:2007-05-15

SHORT TEXT CONTEXT FRAMEWORK EXTRACTING IMPLEMENTATION BASED ON HNC THEORY
QIN Zhang-hua,WANG Jing-zhong. SHORT TEXT CONTEXT FRAMEWORK EXTRACTING IMPLEMENTATION BASED ON HNC THEORY[J]. Journal of Beijing Technology and Business University:Natural Science Edition, 2007, 25(5): 49-52,63
Authors:QIN Zhang-hua  WANG Jing-zhong
Affiliation:College of Information Engineering, North China University of Technology, Beijing 100041, China
Abstract:Base on HNC theory, this paper considers the domain, situation, background of a short text sufficiently and extracts the characters which have more effects on semantic comprehend. Then it fills the frame. Experiments show that the algorithm has better comprehend on short text context and deals with the separation, degradation and different meanings of semantic block effectively. The frame is more accurate and the algorithm costs little resource of the system and has good performance.
Keywords:HNC theory   context framework model   short text   algorithm
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