BrailleSUM: A News Summarization System for the Blind and Visually Impaired People

被引：0
|
作者：
Wan, Xiaojun [1 ]
Hu, Yue [1 ]
机构：
[1] Peking Univ, Inst Comp Sci & Technol, MOE Key Lab Computat Linguist, Beijing 100871, Peoples R China
来源：
PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2 | 2015年
基金：
中国国家自然科学基金;
关键词：
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：
In this article, we discuss the challenges of document summarization for the blind and visually impaired people and then propose a new system called BrailleSUM to produce better summaries for the blind and visually impaired people. Our system considers the factor of braille length of each sentence in news articles into the ILP-based summarization method. Evaluation results on a DUC dataset show that BrailleSUM can produce shorter braille summaries than existing methods, meanwhile, it does not sacrifice the content quality of the summaries.
引用
收藏
页码：578 / 582
页数：5
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