版权说明 操作指南
首页 > 成果 > 详情

The Automated Estimation of Content-Terms for Query-Focused Multi-document Summarization

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文、会议论文
作者:
He, Tingting*何婷婷);Shao, Wei;Li, Fang;Yang, Zongkai;Ma, Liang
通讯作者:
He, Tingting(何婷婷
作者机构:
[He, Tingting; Ma, Liang; Li, Fang; Shao, Wei] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
[He, Tingting; Yang, Zongkai; Ma, Liang; Li, Fang; Shao, Wei] Engn Res Ctr of Edu Informat technol, Ministry Educ, Wuhan 430079, Peoples R China.
通讯机构:
[He, Tingting] H
Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
语种:
英文
期刊:
FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 5, PROCEEDINGS
年:
2008
页码:
580-584
会议名称:
Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, 18-20 October 2008, Jinan, Shandong, China, Proceedings, Volume 5
基金类别:
National Science Foundation of China [60773167]; National Social Science Foundation of China [06BYY029]; Natural Science Foundation of Hubei Province [2006ABC011]; 973 National Basic Research Program [2007CB310804]; Program of Introducing Talents of Discipline to Universities [B07042]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
Query-focused multi-document summarization aims to produce a summary in response to a user query. We present an approach based on estimation of content-terms to address this task. In the process of estimating content-terms, we make full use of the relevant feature and the information richness feature for assigning importance to each of them. With summary content-terms being identified correctly, the candidate sentences are ranked and best sentences are selected to form the summary. Experiments on DUC 2005 and 2006 are performed and the RO...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com