Multi-document summarization based on shallow analysis

Shu Zhang; Tie Jun Zhao; De Quan Zheng; Mu Yun Yang

Multi-document summarization based on shallow analysis

Shu Zhang^*
, Tie Jun Zhao
, De Quan Zheng
, Mu Yun Yang

^*Corresponding author for this work

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

An approach of multi-document summarization based-on shallow analysis is presented. It analyzes the structure information of the single document and statistical information of multi-document, and dynamically computes the contribution of a sentence to the summary and reduces the redundant information with improved MMR method. Then the summary outputs with a timeline. The automatic evaluation of the English summaries with n-gram score shows the system's effectiveness and feasibility.

Original language	English
Pages (from-to)	1102-1105
Number of pages	4
Journal	Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
Volume	39
Issue number	7
State	Published - Jul 2007

Keywords

Automatic evaluation
MMR method
Multi-document summarization
Shallow analysis

Cite this

@article{6c55e499c03b47f7b6aa52ca68671cd3,

title = "Multi-document summarization based on shallow analysis",

abstract = "An approach of multi-document summarization based-on shallow analysis is presented. It analyzes the structure information of the single document and statistical information of multi-document, and dynamically computes the contribution of a sentence to the summary and reduces the redundant information with improved MMR method. Then the summary outputs with a timeline. The automatic evaluation of the English summaries with n-gram score shows the system's effectiveness and feasibility.",

keywords = "Automatic evaluation, MMR method, Multi-document summarization, Shallow analysis",

author = "Shu Zhang and Zhao, \{Tie Jun\} and Zheng, \{De Quan\} and Yang, \{Mu Yun\}",

year = "2007",

month = jul,

language = "英语",

volume = "39",

pages = "1102--1105",

journal = "Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology",

issn = "0367-6234",

publisher = "Harbin Institute of Technology",

number = "7",

}

TY - JOUR

T1 - Multi-document summarization based on shallow analysis

AU - Zhang, Shu

AU - Zhao, Tie Jun

AU - Zheng, De Quan

AU - Yang, Mu Yun

PY - 2007/7

Y1 - 2007/7

N2 - An approach of multi-document summarization based-on shallow analysis is presented. It analyzes the structure information of the single document and statistical information of multi-document, and dynamically computes the contribution of a sentence to the summary and reduces the redundant information with improved MMR method. Then the summary outputs with a timeline. The automatic evaluation of the English summaries with n-gram score shows the system's effectiveness and feasibility.

AB - An approach of multi-document summarization based-on shallow analysis is presented. It analyzes the structure information of the single document and statistical information of multi-document, and dynamically computes the contribution of a sentence to the summary and reduces the redundant information with improved MMR method. Then the summary outputs with a timeline. The automatic evaluation of the English summaries with n-gram score shows the system's effectiveness and feasibility.

KW - Automatic evaluation

KW - MMR method

KW - Multi-document summarization

KW - Shallow analysis

UR - https://www.scopus.com/pages/publications/34547998403

M3 - 文章

AN - SCOPUS:34547998403

SN - 0367-6234

VL - 39

SP - 1102

EP - 1105

JO - Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology

JF - Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology

IS - 7

ER -

Multi-document summarization based on shallow analysis

Abstract

Keywords

Other files and links

Fingerprint

Cite this