An approach to Abstractive Text Summarization

被引：0
|
作者：
Huong Thanh Le [1 ]
Tien Manh Le [1 ]
机构：
[1] Hanoi Univ Sci & Technol, Hanoi, Vietnam
来源：
2013 INTERNATIONAL CONFERENCE OF SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR) | 2013年
关键词：
abstractive text summarization; discourse relation; word graph;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The Abstractive summarization is the technique of generating a summary of a text from its main ideas, not by copying verbatim most salient sentences from text. This is an important and challenge task in natural language processing. In this paper, we propose an approach to abstractive text summarization based on discourse rules, syntactic constraints, and word graph. Discourse rules and syntactic constraints are used in the process of generating sentences from keywords. Word graph is used in the sentence combination process to represent word relations in the text and to combine several sentences into one. Experimental results show that our approach is promising in solving the abstractive summarization task.
引用
收藏
页码：371 / 376
页数：6
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