Sentence Compression with Natural Language Generation

被引：0
|
作者：
Li, Peng [1 ]
Wang, Yinglin [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai, Peoples R China
来源：
KNOWLEDGE ENGINEERING AND MANAGEMENT | 2011年 / 123卷
关键词：
Sentence Compression; Natural Language Generation;
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：
We present a novel unsupervised method for sentence compression which relies on a Stanford Typed Dependencies to extract information items, then generates compressed sentences via Natural Language Generation(NLG) engine. An automatic evaluation shows that our method obtains better results. We demonstrate that the choice of the parser affects the performance of the system.
引用
收藏
页码：357 / 363
页数：7
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