Dynamic Multi-Document Summarization Research based on Matrix Subspace Analysis Model
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@Article{JICS-6-227,
author = {Meiling Liu, Dequan Zheng, Tiejun Zhao, Honge Ren and Yang Yu},
title = {Dynamic Multi-Document Summarization Research based on Matrix Subspace Analysis Model},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {6},
number = {3},
pages = {227--233},
abstract = {In this paper, we described dynamic evolution of network information, as well as identify and
analysis the document collection on the same topic in different stages. Dynamic summarization considers the
different documents’ temporal relationship in multi-document and analyzes the relationship between emerged
information and emerging information. In order to construct a dynamic evolution of content differences, a
dynamic multi-document summarization model was presented, called the Matrix Subspace Analysis Method
model. On this basis, proposed some efficient dynamic sentence weighting methods, and experiments on the
test data of Update Summarization in TAC2008, we showed effectiveness results.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22679.html}
}
TY - JOUR
T1 - Dynamic Multi-Document Summarization Research based on Matrix Subspace Analysis Model
AU - Meiling Liu, Dequan Zheng, Tiejun Zhao, Honge Ren and Yang Yu
JO - Journal of Information and Computing Science
VL - 3
SP - 227
EP - 233
PY - 2024
DA - 2024/01
SN - 6
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22679.html
KW - Multi-Document Summarization, Otherness analysis, Matrix model, D-TFIDF-T, Dynamic
evolvement
AB - In this paper, we described dynamic evolution of network information, as well as identify and
analysis the document collection on the same topic in different stages. Dynamic summarization considers the
different documents’ temporal relationship in multi-document and analyzes the relationship between emerged
information and emerging information. In order to construct a dynamic evolution of content differences, a
dynamic multi-document summarization model was presented, called the Matrix Subspace Analysis Method
model. On this basis, proposed some efficient dynamic sentence weighting methods, and experiments on the
test data of Update Summarization in TAC2008, we showed effectiveness results.
Meiling Liu, Dequan Zheng, Tiejun Zhao, Honge Ren and Yang Yu. (2024). Dynamic Multi-Document Summarization Research based on Matrix Subspace Analysis Model.
Journal of Information and Computing Science. 6 (3).
227-233.
doi:
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