The SENSEI Overview of Newspaper Readers' Comments

被引:0
|
作者
Funk, Adam [1 ]
Aker, Ahmet [1 ]
Barker, Emma [1 ]
Paramita, Monica Lestari [1 ]
Hepple, Mark [1 ]
Gaizauskas, Robert [1 ]
机构
[1] Univ Sheffield, Dept Comp Sci, Sheffield S1 4DP, S Yorkshire, England
来源
ADVANCES IN INFORMATION RETRIEVAL, ECIR 2017 | 2017年 / 10193卷
关键词
User interface; Summarization; Newspaper; Social media;
D O I
10.1007/978-3-319-56608-5_77
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Automatic summarization of reader comments in on-line news is a challenging but clearly useful task. Work to date has produced extractive summaries using well-known techniques from other areas of NLP. But do users really want these, and do they support users in realistic tasks? We specify an alternative summary type for reader comments, based on the notions of issues and viewpoints, and demonstrate our user interface to present it. An evaluation to assess how well summarization systems support users in time-limited tasks (identifying issues and characterizing opinions) gives good results for this prototype.
引用
收藏
页码:758 / 761
页数:4
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