作者
Mehdi Jafari, Jing Wang, Yongrui Qin, Mehdi Gheisari, Amir Shahab Shahabi, Xiaohui Tao
发表日期
2016/9/7
研讨会论文
2016 22nd International Conference on Automation and Computing (ICAC)
页码范围
256-260
出版商
IEEE
简介
Due to the high volume of information and electronic documents on the Web, it is almost impossible for a human to study, research and analyze this volume of text. Summarizing the main idea and the major concept of the context enables the humans to read the summary of a large volume of text quickly and decide whether to further dig into details. Most of the existing summarization approaches have applied probability and statistics based techniques. But these approaches cannot achieve high accuracy. We observe that attention to the concept and the meaning of the context could greatly improve summarization accuracy, and due to the uncertainty that exists in the summarization methods, we simulate human like methods by integrating fuzzy logic with traditional statistical approaches in this study. The results of this study indicate that our approach can deal with uncertainty and achieve better results when …
引用总数
201720182019202020212022202320243910931045
学术搜索中的文章
M Jafari, J Wang, Y Qin, M Gheisari, AS Shahabi, X Tao - 2016 22nd International Conference on Automation …, 2016