Research on Multi-document Summarization Model Based on Dynamic Manifold-Ranking

Author

Liu, Mei-Ling ; Ren, Hong-E ; Zheng, De-quan ; Zhao, Tie-jun

Author_Institution

Dept. of Comput. Sci. & Applic., Northeast Forestry Univ., Harbin, China

fYear

2011

fDate

15-17 Nov. 2011

Firstpage

158

Lastpage

161

Abstract

This paper introduces a model to describe the dynamic evolution of network information, identifying and analyzing the document collection on the same topic in different stages. In order to characterize the dynamic relationship of evolutionary content differences, this paper presents a dynamic multi-document summarization model, which is called the Dynamic Manifold-Ranking Model (DMRM). Some experiments were conducted on the Update Task test data from TAC2008, and results of new model were compared with results from the TAC2008 evaluation. This comparison demonstrated the effectiveness of the model.

Keywords

abstracting; text analysis; TAC2008 evaluation; document collection analysis; document collection identification; dynamic manifold ranking model; dynamic multidocument summarization model; dynamic network information evolution; evolutionary content differences; Analytical models; Computational modeling; Electronic mail; Forestry; Heuristic algorithms; Manifolds; Vectors; Dynamic; Manifold-Ranking; Summarization;

fLanguage

English

Publisher

ieee

Conference_Titel

Asian Language Processing (IALP), 2011 International Conference on

Conference_Location

Penang

Print_ISBN

978-1-4577-1733-8

Type

conf

DOI

10.1109/IALP.2011.55

Filename

6121493