Applying regression models to query-focused multi-document summarization-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Applying regression models to query-focused multi-document summarization

Published:2011-03 Issue:2 Volume:47 Page:227-237
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Ouyang You,Li Wenjie,Li Sujian,Lu Qin

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference24 articles.

1. Amini, M. R., Usunier, N. (2009). Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization. In Proceedings of the 32nd international ACM SIGIR conference on research and development in information retrieval, poster session (pp 704–705).

2. Automatic text summarization based on word-clusters and ranking algorithms;Amini,2005

3. Banerjee, S., & Pedersen, T. (2002). An adapted lesk algorithm for word sense disambiguation using WordNet. In Proceedings of the third international conference on computational linguistics and intelligent text processing (CICLING-02) (pp. 136–145).

4. Carbonell, G. J., & Goldstein, J. (1998). The use of MMR, diversity-based reranking for reordering documents and producing summaries. In Proceedings of the 21st annual international ACM SIGIR conference on research and development in information retrieval (pp. 335–336). Melbourne, Australia.

5. Chuang, W. T., & Yang, J. (2000). Extracting sentence segments for text summarization: a machine learning approach. In Proceedings of the 23rd annual international ACM SIGIR conference on research and development in information retrieval (pp. 152–159).

Cited by 118 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Features in extractive supervised single-document summarization: case of Persian news;Language Resources and Evaluation;2024-05-08

2. Biomedical semantic text summarizer;BMC Bioinformatics;2024-04-16

3. A Study Using Survey Cum Compilation in Text Summarizing Works in Automatically Generated Discourse Analyses;Learning and Analytics in Intelligent Systems;2024

4. SDbQfSum: Query‐focused summarization framework based on diversity and text semantic analysis;Expert Systems;2023-09-29

5. Review on Query-focused Multi-document Summarization (QMDS) with Comparative Analysis;ACM Computing Surveys;2023-08-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3