A Novel Automatic Text Summarization Study Based on Term Co-Occurrence
As the amount of textual information available grows rapidfy, automatic text summarization methods are becoming increasingly important. Based on the subject information from term co-occurrence graph and linkage information of different subjects, a novel automatic summarization algorithm is proposed in this paper. This algorithm can get better summarization and can be adaptable to different document style. And it also can pick up subject information, whose significance will be evaluated in accordance to the rules presented in this paper. Besides, it can dynamically decide the summary size. The validity of the algorithm has been tested, showing that the novel automatic text summarization algorithm tallies with author s intentional subjects and is information-redundancy-free.
text summarization term co-occurrence subject determination subject terms.
Huantong Geng Peng Zhao Enhong Chen Qingsheng Cai
Department of Computer Science and Technology University of Science and Technology of China Hefei 230027, China
国际会议
Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)
北京
英文
601-606
2006-07-17（万方平台首次上网日期，不代表论文的发表时间）